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Welcome to Probation 
Perspectives insights into 

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Community Justice, the podcast 
where we dive into the world of 

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probation, rehabilitation and 
community justice. 

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Each episode we explore the 
themes, challenges and skills 

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that underpin effective 
probation practise. 

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Whether you're just starting out
on the peak WHIP, have years of 

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experience in the field, or are 
simply curious about the 

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criminal justice system, this 
podcast is your space for 

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practical insight, expert 
perspectives, and meaningful 

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conversations. 
In today's episode, we're joined

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by Professor Mike Nellis, 
Professor of Criminal and 

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Community Justice at the 
University of Strathclyde, and 

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Louis All Good from the AI and 
Justice Government Department. 

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Together, we explore the 
evolving role of technology in 

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probation, focusing on 
electronic monitoring and the 

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growing influence of artificial 
intelligence. 

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Electronic monitoring is a 
technology in its original form 

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for monitoring the locations and
schedules of remanded, convicted

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or released offenders, and the 
initial version of it, which 

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like most versions of electronic
monitoring have originated in 

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America, is just radio frequency
curfew technology. 

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We talk about the origins and 
development of electronic 

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monitoring, the promises and 
pitfalls of AI and justice, and 

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what these technologies mean for
P quips probation officers and 

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the future of the probation 
service. 

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So Gentive AI in particular, how
can we help provide assistance 

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that can do things like help you
spend more time listening to the

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personal probation and less time
manually writing up notes, more 

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time analysing information, 
joining the dots together, less 

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time having to reread the same 
information again? 

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It's a timely and thought 
provoking conversation that 

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invites us to reflect on how 
technology is reshaping 

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probation and what it means to 
practise ethically in a digital 

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age. 
Let's get into our conversation 

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with Mike and Louie. 
Great. 

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So thank you so much for being 
here today. 

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If you could both introduce 
yourselves and tell us a bit 

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about your background and your 
current work. 

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Mike, are we happy to start with
you, please? 

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Well, thank you very much, Megan
Kerry. 

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It's very nice to be here. 
I'm Mike Nelis, and I'm an 

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emeritus professor, a retired 
professor of criminal and 

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community justice at the 
University of Strathclyde, and I

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am retired. 
But every now and again I get 

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quite involved in things, and AI
turns out to be one of them. 

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Over the years I've done work 
with the Council of Europe on 

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electronic monitoring, which I 
was very pleased with and which 

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seemed to go quite well. 
But when I was asked to work 

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with the Council of Europe 
committee on an ethical 

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recommendation about AI in 
prisons and probation, I didn't 

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feel quite as comfortable with 
that. 

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So I left after a year, but 
nonetheless got the book about 

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AI and criminal justice, prisons
and probation, and I've remained

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interested in it ever since. 
And I started to write about it,

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linking it to my work on 
electronic monitoring. 

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Thank you so much, Mike. 
And then Louis, happy to say a 

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bit about yourself, please. 
Of course, lovely to meet you 

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all. 
I'm Louis Orgut. 

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I'm an AI product manager from 
the Justice AI units. 

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We work directly within the 
membership Justice. 

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We are building solutions and 
also partnering of some of the 

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best companies out there from 
the likes of Open AI to 

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Microsoft, to give people the 
most powerful and most safest 

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tools. 
I lead the work on speech AI, 

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looking at opportunities that 
are either speech to text, 

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speech to speech, and beyond. 
Specifically working a lot with 

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probation offices. 
I want to help them spend more 

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time being analytical, more time
actively listening, less time 

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note taking. 
Taking conversations into 

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structured notes for example, is
been a super big interest to me 

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of late. 
And yeah, anything that helps to

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support professional judgement 
is awesome in my mind. 

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And helping with the 
relationships that are truly at 

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the heart of probation. 
AI can only support but not 

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replace. 
Great. 

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Thank you. 
Both. 

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We've punched AI there and 
electronic monitoring. 

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So there are terms that a lot of
us might hear, but maybe not 

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everyone fully understands. 
Are you both able just to 

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explain both of those things for
our listening? 

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OK, well I'll, I'll do the 
electronic monitoring one. 

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I'll leave the AI 12 LUI. 
Electronic monitoring is a 

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technology for in its original 
form for monitoring the 

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locations and schedules of 
remanded, convicted or released 

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offenders. 
And the initial version of it, 

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which like most versions of 
electronic monitoring have 

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originated in America, is just 
radio frequency curfew 

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technology. 
You put an ankle bracelet on 

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someone and you ask them to stay
in proximity to a reporting 

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device that's installed in their
own homes so that the monitoring

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authority will know whether 
you're in your house or not by 

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dint of the connection that has 
been made by your ankle bracelet

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and the device that's installed 
in your home. 

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GPS tracking also requires an 
ankle bracelet, but it means 

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your movements can be followed. 
It's GPS tracking because it 

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makes use of GPS satellites, 
which were developed for various

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navigation purposes, some 
military, some civilian, as far 

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back as the 1970s. 
But they weren't accurate enough

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to do the location tracking of 
individuals until the 1990s. 

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And ever since then, GPS 
tracking has been developing 

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around the world. 
So you can monitor movements and

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you can also create exclusion 
zones. 

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You can tell people where they 
can't go. 

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And more recently we've had 
alcohol monitoring, which 

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doesn't monitoring the 
locations, but it monitors your 

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intake of alcohol and that's 
particularly useful if the court

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has banned you from using it. 
It's time stamped so we know 

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what from it, what times of day 
you are drinking alcohol or not 

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drinking alcohol. 
Some technologies can combine 

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the 2 alcohol monitoring and 
location monitoring. 

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Thank you, Mike. 
And just as a follow on, as some

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of the public might think those 
things are quite reliable, maybe

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they think they're not that 
reliable. 

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I just wondered, as you've done 
a lot of research in this area, 

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what's your thoughts on the 
reliability of those? 

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Right. 
Well, I have to say that they 

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are reliable most of the time, 
but they're not perfect. 

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And in those instances when the 
technology has failed, can that 

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can have quite devastating and 
fateful consequences for the 

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individuals concerned. 
So we shouldn't go around 

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thinking, you know, in the 
manner of Fujitsu and the post 

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office, that the technology is 
always right. 

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And if we have anomalies with 
offenders who say, but you know,

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you're saying I was here when I 
did this burglary when I'm 

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saying I was somewhere else, 
that there must be data to to 

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confirm my innocence in this, we
should listen to that because 

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the technology doesn't always 
get it right. 

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But I don't want to use an 
argument to resist the any of 

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these technologies by saying 
they won't work properly, 

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because for better or worse, a 
lot of the time they do work 

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properly. 
Thank you, Mike. 

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That's really helpful. 
And then, Louis, are you happy 

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to explain what you mean by AI? 
Absolutely. 

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There's two flavours of AI. 
Typically you'd see things like 

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machine learning and modelling, 
and this is that type of AI, 

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which I think a lot of people 
wouldn't realise, but they use 

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it, they stay as is. 
If you're using the weather 

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forecast every on Netflix, every
on Amazon, it's learning from a 

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pattern to predict or recommend 
the next thing. 

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If you watch a particular show 
on Netflix, you're likely to 

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potentially like something else.
So that's one type of AI. 

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And then the one that's caught 
everyone's attention recently is

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gender of AI. 
And it's gender AI. 

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And I think the nicest way to 
frame is we're still learning 

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from patterns, but it's 
generating new content. 

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You don't use Gen AI to create a
new type of weather because 

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that's like can do for chance of
me balls. 

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That's not the case here. 
So gent of AI think about 

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drafting text, summarising 
things, creating content based 

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on an input itself. 
And the most popular version of 

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gent of AI tools would be 
ChatGPT. 

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Don't click on the figures now 
that there was something like 

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10% of the world's population 
have used chat for GBT, which is

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a super massive number. 
Yeah, if you hear of ChatGPT Gen

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AI, if you're using the weather 
forecast, that's more classic 

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predictive modelling, but that's
the best way to describe it. 

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It's worth asking if anyone ever
says what do you think about AI?

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Might be worth checking. 
What type of AI do you mean in 

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this? 
That's really interesting. 

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So then, Louis, the use of AI in
probation, we're really 

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interested in hearing what 
you've got to say about how it's

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being developed and rolled out 
in probation. 

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So in my mind, I think of like 
sort of three buckets about what

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this actually means for 
probation. 

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So firstly, you know, when 
people join the profession, 

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they're super excited to build 
loving, kind relationships. 

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They're super excited to help 
create a safer community, 

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prevent risk, etcetera. 
And yet a lot of people get 

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shocked by the amount of admin. 
So Gentive AI in particular, how

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can we help provide assistance 
that can do things like help you

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spend more time listening to the
personal probation and less time

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manually writing up notes, more 
time analysing information, 

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joining the dots together less 
time having to reread the same 

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information again. 
So one bucket giving people and 

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retain them time to the things 
that are most interesting to 

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them and most useful to them. 
More time with the people of 

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creation in the meeting directly
looking at them actually 

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listening. 
Second bucket is more about like

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faster great ways of like 
finding information. 

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I think it was last week I met 
someone who was telling me it's 

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crazy hard sometimes because you
know, we've got people who have 

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had 20, fourish offences, 
they've got so much 

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documentation about them, so 
much information. 

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It's really hard to find the 
things that are most important 

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to me. 
So sometimes a thing that's 

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really useful in this context is
using things like semantic 

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search, using AI to say you 
didn't search the direct word 

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of, you know, drug offence, but 
by searching drugs you might 

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have noticed all of the 
information about this person 

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and their relationship with 
drugs called etcetera. 

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So supporting with consistent 
school decisions, it's super 

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useful, especially in the 
context of using semantic search

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and a bit that's touches upon 
electronic monitoring as well. 

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It's not gentive AI, but more 
about classic machine learning, 

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predictive models. 
We can use analytics to support 

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patterns, risk patterns, 
vulnerability signals, emerging 

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risks, etcetera. 
We've got people who work with 

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probation staff and they're so 
busy that sometimes happen them 

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with nudges or information that 
can inform a decision can be 

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super useful. 
But again, it's a decision that 

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the person who's doing the job 
are building. 

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Probation officers, they're the 
ones who are most informed. 

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This technology is only as 
supportive in our context. 

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Admin time, back to people I'm 
living and bringing that with 

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speech AI for sure. 
Faster, clearer information 

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handling we're tackling with 
semantic search. 

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Smarter triage I think is more 
about the broader stuff that 

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happens as is in regards to data
modelling work. 

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Some of these solutions come in 
the form of bespoke builds. 

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Some of these solutions, we're 
finding, are covered by some of 

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the more common generative AI 
tools which can be used 

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effectively and safely with 
appropriate training and 

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adoption support. 
Yeah, you've given a really 

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interesting summary there, and a
lot of this information is set 

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out in the AI Plan for Justice 
that was published over the 

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summer, and it really captures 
some of that key information. 

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But what really speaks to me is 
that recognition of how busy 

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probation officers are, how much
they're juggling, and how you're

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working in those offices and you
work with those individuals and 

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you learn from them about what 
they need. 

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And I think that's really 
important to learn their job and

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understand how they can reduce 
time spent on the admin and 

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develop time for professional 
judgement and those sorts of 

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skills. 
And then I think that might 

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speak to some of Mike's concerns
as well about rollout of AI. 

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Well, I mean, I think the 
relational core of probation is 

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something that is worth 
preserving. 

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And if one didn't preserve the 
relational core of it, I guess 

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one wouldn't want to be calling 
it probation, you know, just 

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calling it Offender Management 
rather than using the word 

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probation with all the the moral
aspects of the probation 

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tradition that the term itself 
incorporates. 

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And with electronic monitoring 
over the years, the 20 or 30 

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years that I was involved with 
that I was the person who was 

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championing uses of electronic 
monitoring in probation. 

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And certainly in the early days 
I didn't make myself very 

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popular in doing that. 
But I, I was always aware that 

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electronic monitoring could be 
used in better or worse ways. 

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And my belief that electronic 
monitoring could be used to 

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support relational work, 
support, rehabilitative work, 

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support resistance was the basis
on which I thought probation 

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should take it seriously. 
But given that for a long time 

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the Home Office and then the 
Ministry of Justice wanted to 

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use electronic monitoring in 
more punitive ways, I could see 

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that the I could see why the 
probation service resisted it 

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when there was such a punitive 
rhetoric around electronic 

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monitoring, which didn't prevail
to the same extent in a number 

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of European probation services 
who I think finished up using 

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electronic monitoring in much 
more interesting ways. 

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And I guess the core thing there
is that the European probation 

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services, take the Scandinavian 
ones or the Netherlands, they 

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did not farm out the delivery of
electronic monitoring to an 

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external private contractor. 
Obviously you work with the 

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private sector to get the tech 
from them and to get technical 

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assistance with them. 
In Scandinavia and the 

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Netherlands, electronic 
monitoring was always in the 

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hands of the probation service 
and they had to learn how to use

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it wisely and well. 
In fact, so split was electronic

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monitoring probation in England 
and Wales that there was never 

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the opportunity to learn how to 
use it wisely and well. 

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Because the Ministry of 
Justice's view until relatively 

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recently was that these things 
should be kept set separate. 

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And I always feared that if 
there was a separate development

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of electronic monitoring, it 
would be used to advance a 

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technological agenda which got 
further and further away from 

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the practise ideals of the 
probation service. 

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That I think is the situation 
that we're in at the moment. 

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And that worries me a little bit
about AI because having seen 

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that the Ministry of Justice did
not use electronic monitoring 

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wisely and well, I fear despite 
all the rhetoric and all the 

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dedication of people like Louis,
the Ministry of Justice might 

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still finish up using AI badly 
rather than using it to support 

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the things that I could see the 
point of if that's what it was 

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used for. 
Really great points there. 

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I was going to segue straight to
Louis. 

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I thought you might have a 
response to that. 

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I think in our context, in the 
Justice AI unit and gent of AI 

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tools, if someone has been given
access to a tool and they don't 

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use it, I've literally just been
saying to people throughout my 

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time here, we won't take a 
punitive measure. 

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There's no like slapping on the 
wrist. 

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Louis, why didn't you use your 
tool? 

283
00:14:06,880 --> 00:14:08,080
You're supposed to use it no 
matter what. 

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Instead, our mantra is more 
like, oh, interesting, we saw 

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you got access, but you haven't 
used it. 

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How can we help you? 
So I found myself reaching out 

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00:14:15,240 --> 00:14:17,720
to people and sometimes they go 
say, oh, sorry, I haven't had 

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00:14:17,720 --> 00:14:20,440
time just to open it. 
I'm so busy at my, I'm really 

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00:14:20,440 --> 00:14:21,480
tired. 
My head's full. 

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00:14:21,800 --> 00:14:23,840
We go, no worries. 
If you want some help, let us 

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00:14:23,840 --> 00:14:26,840
know, reach out. 
If not, when you're ready, give 

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00:14:26,840 --> 00:14:28,600
it a go. 
And here's how to get started. 

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00:14:28,720 --> 00:14:31,240
We've also found things like if 
there is a particular reason you

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00:14:31,240 --> 00:14:33,800
didn't get started, did you want
better training? 

295
00:14:33,800 --> 00:14:36,200
Did you want in person training?
Thank you for giving us 

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00:14:36,200 --> 00:14:38,120
information. 
For me, it's like a really cool 

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00:14:38,120 --> 00:14:40,720
learning to say, if you're not 
using a thing, why not? 

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00:14:40,920 --> 00:14:42,040
How do we make it better for 
you? 

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00:14:42,440 --> 00:14:44,360
And how do we ultimately live 
and breathe the goal of 

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00:14:44,440 --> 00:14:46,560
improving your working life no 
matter what it takes. 

301
00:14:47,080 --> 00:14:48,840
And I think like I've been 
blessed to work with a lot of 

302
00:14:48,840 --> 00:14:52,200
probation officers because these
people are fantastic, very 

303
00:14:52,200 --> 00:14:54,000
honest, upfront. 
If they like something they'll 

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00:14:54,000 --> 00:14:55,720
tell you they like it, if they 
hate something they'll tell you 

305
00:14:55,720 --> 00:14:58,200
they hate it and they're open 
minded to try something new. 

306
00:14:58,200 --> 00:15:01,320
So I've been lucky enough to 
spend two days a week at the 

307
00:15:01,320 --> 00:15:02,800
moment. 
It's been busy but it's so 

308
00:15:02,800 --> 00:15:06,760
useful in probation offices. 
Being at the front line with our

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00:15:06,760 --> 00:15:09,980
brilliant staff has helped me 
work closely with them, my Co 

310
00:15:09,980 --> 00:15:12,960
worker, give them quick things 
to learn from and then build 

311
00:15:13,160 --> 00:15:16,200
better for them. 
The Justice AR unit is really 

312
00:15:16,280 --> 00:15:19,360
big on the fact that we need to 
get as close as possible to 

313
00:15:19,360 --> 00:15:22,160
probation staff in order to 
build them winning products or 

314
00:15:22,760 --> 00:15:25,520
help them with adoption. 
Any sport or products. 

315
00:15:25,520 --> 00:15:28,280
We see their working life, we 
feel their pain. 

316
00:15:28,280 --> 00:15:31,080
I think my favourite example was
one time someone said to me, if 

317
00:15:31,080 --> 00:15:33,520
you want to know how hard it is,
do you want to stay with me 

318
00:15:33,520 --> 00:15:35,360
until I finish work? 
I'm on duty today. 

319
00:15:35,760 --> 00:15:38,240
I'm finishing at 8:30. 
I said yes, it was great. 

320
00:15:38,240 --> 00:15:40,320
It was so useful. 
Like they had 10 meetings 

321
00:15:40,320 --> 00:15:42,800
back-to-back in a day. 
Like that's crazy. 

322
00:15:42,840 --> 00:15:45,360
And the amount of admin that has
done between it was insane, 

323
00:15:45,840 --> 00:15:46,680
Yeah. 
Thank you. 

324
00:15:46,680 --> 00:15:49,400
That's that's a really important
overview and what I'm really 

325
00:15:49,400 --> 00:15:52,000
hearing is that you're 
understanding the human element 

326
00:15:52,000 --> 00:15:54,440
of probation officers and the 
role that they do I. 

327
00:15:54,840 --> 00:15:56,840
Mean this is a common pattern I 
see this week. 

328
00:15:56,880 --> 00:15:59,720
I got a call up later in the 
afternoon being like, I've got 

329
00:15:59,720 --> 00:16:01,680
an idea for you. 
This is also the probation 

330
00:16:01,680 --> 00:16:02,880
officer. 
And it's like, I've got an idea 

331
00:16:02,880 --> 00:16:04,320
for you. 
Can you, can you, can you build 

332
00:16:04,320 --> 00:16:05,480
this? 
And what was great is they 

333
00:16:05,480 --> 00:16:07,640
showed me this thing and head on
their screen. 

334
00:16:07,640 --> 00:16:10,800
They're like, this bit takes me 
ages, but it's really benign. 

335
00:16:10,800 --> 00:16:13,000
Like it's really basic. 
Can you help me with that? 

336
00:16:13,240 --> 00:16:15,520
And they always say, I've 
noticed, but don't do this bit, 

337
00:16:15,520 --> 00:16:17,040
don't bother with that, but I'll
do the analysis. 

338
00:16:17,040 --> 00:16:19,840
So I'm already seeing when 
people do work with me, they'll 

339
00:16:19,840 --> 00:16:22,800
say, oh, here's my idea. 
But AI, can you help me with 

340
00:16:22,800 --> 00:16:25,280
this bit, which I'll describe as
like the cognitive routine 

341
00:16:25,280 --> 00:16:26,520
stuff. 
They always tell us this is the 

342
00:16:26,520 --> 00:16:27,520
bit that's most important to 
them. 

343
00:16:27,680 --> 00:16:31,080
You know, it's the identifying 
the things that really inform 

344
00:16:31,080 --> 00:16:34,240
your awareness of the protective
factors, the risk factor, the 

345
00:16:34,240 --> 00:16:36,400
analysis piece itself. 
They're always super keen on 

346
00:16:36,400 --> 00:16:37,520
life. 
Don't touch that bit. 

347
00:16:37,520 --> 00:16:43,160
My concern about introducing AI 
into probation in this way is 

348
00:16:43,160 --> 00:16:46,480
that we're not talking about an 
ideal or even a healthy 

349
00:16:46,480 --> 00:16:49,920
probation service right the 
moment the Ministry of Justices 

350
00:16:49,920 --> 00:16:53,920
plans to vastly expand the use 
of electronic monitoring and to 

351
00:16:53,920 --> 00:16:56,880
introduce AI into all public 
services. 

352
00:16:56,880 --> 00:16:59,560
Because this debate is not just 
restricted probation. 

353
00:16:59,680 --> 00:17:02,640
The probation service is not in 
good shape and hasn't been for a

354
00:17:02,640 --> 00:17:06,000
long time. 
It was severely damaged by the 

355
00:17:06,000 --> 00:17:10,839
attempt to part privatise it, to
privatise 70% of it 10 years 

356
00:17:10,839 --> 00:17:12,680
ago. 
We lost an awful lot of staff 

357
00:17:12,680 --> 00:17:15,599
from the probation service who 
have never been replaced and 

358
00:17:15,599 --> 00:17:18,960
we've never managed to recruit 
sufficient probation officers or

359
00:17:18,960 --> 00:17:22,520
retain sufficient probation 
officers to do what is required 

360
00:17:22,599 --> 00:17:24,800
Now. 
My reading of that situation is 

361
00:17:24,800 --> 00:17:29,160
that a public service that is 
short of 10,000 staff is rife 

362
00:17:29,160 --> 00:17:33,480
for greater or lesser degrees of
automation, right? 

363
00:17:34,000 --> 00:17:38,320
And my worry, I suppose, is how 
far that goes under those 

364
00:17:38,320 --> 00:17:41,760
circumstances of staff shortage.
Because, you know, the Ministry 

365
00:17:41,760 --> 00:17:45,080
of Justice can say all it likes 
that we really believe in a 

366
00:17:45,080 --> 00:17:48,440
rehabilitative probation service
where people have relational 

367
00:17:48,440 --> 00:17:50,840
skills to engage with difficult 
offenders. 

368
00:17:50,880 --> 00:17:53,960
But if you can't find the 
people, there will be a tipping 

369
00:17:53,960 --> 00:17:57,680
point where the technology 
becomes more important than the 

370
00:17:57,680 --> 00:17:59,480
people. 
And I appreciate that Louis 

371
00:17:59,480 --> 00:18:03,080
isn't defending that scenario, 
but I think that scenario is 

372
00:18:03,280 --> 00:18:05,480
possible. 
And that worries me about the 

373
00:18:05,480 --> 00:18:08,280
direction of travel. 
Engaging with people to find out

374
00:18:08,320 --> 00:18:11,200
what they want under the 
circumstances that we're in is a

375
00:18:11,200 --> 00:18:14,360
very sensible thing to be doing.
But I learned from electronic 

376
00:18:14,360 --> 00:18:18,040
monitoring, from all the people 
who had good ideas about its 

377
00:18:18,040 --> 00:18:21,240
potential, including myself, 
that the road to hell really is 

378
00:18:21,240 --> 00:18:24,400
paved with good intentions. 
And despite your best intentions

379
00:18:24,400 --> 00:18:27,840
as to how a technology might be 
used, the powers that be can 

380
00:18:27,840 --> 00:18:31,520
still shape it in ways that you 
do not find congenial. 

381
00:18:31,560 --> 00:18:33,800
That's my worry. 
And that's a really important 

382
00:18:33,800 --> 00:18:36,480
concern to I'm interested in 
Louis. 

383
00:18:36,520 --> 00:18:38,960
Thoughts on that? 
Can I just anchor that in 

384
00:18:38,960 --> 00:18:42,120
practise a little bit about the 
about the recording and 

385
00:18:42,120 --> 00:18:45,760
transcription technologies that 
have been used in some probation

386
00:18:45,760 --> 00:18:48,440
services and will be rolled out 
further? 

387
00:18:48,440 --> 00:18:51,600
I was talking to a senior 
probation officer friend of mine

388
00:18:51,600 --> 00:18:54,600
of long experience who said to 
me that even if these 

389
00:18:54,600 --> 00:18:58,880
technologies do save individual 
probation services between 30 

390
00:18:58,880 --> 00:19:03,600
minutes and 60 minutes a day, 
and we can all see the value of 

391
00:19:03,600 --> 00:19:05,720
that. 
But then he said I still don't 

392
00:19:05,720 --> 00:19:08,160
have enough probation officers 
to do all the work that needs 

393
00:19:08,160 --> 00:19:09,960
doing. 
And that doesn't vitiate the 

394
00:19:09,960 --> 00:19:12,440
technology. 
It doesn't say don't bother to 

395
00:19:12,440 --> 00:19:17,200
do this, but it does mean the 
technology isn't solving the 

396
00:19:17,200 --> 00:19:20,400
problem in a significant way 
because you just haven't got the

397
00:19:20,400 --> 00:19:22,560
people to do the relational 
work. 

398
00:19:22,600 --> 00:19:26,480
And so his fear about what that 
the recording and transcription 

399
00:19:26,480 --> 00:19:31,360
technology would do would just 
enable his team to do more 

400
00:19:31,400 --> 00:19:34,320
interviews and more 
transcription, but never get 

401
00:19:34,320 --> 00:19:37,880
round to doing the relational, 
relational work that that 

402
00:19:37,880 --> 00:19:40,280
technology is supposed to free 
them up to do. 

403
00:19:40,600 --> 00:19:44,000
So to what Mike said, I think if
you think a bigger picture to 

404
00:19:44,160 --> 00:19:47,600
ensure that we have one of the, 
you know, the world class 

405
00:19:47,600 --> 00:19:51,280
probation service that's truly 
focused on, you know, helping 

406
00:19:51,280 --> 00:19:53,760
with safer community technology 
is one part. 

407
00:19:54,480 --> 00:19:56,960
But we still need to have a lot 
of work to ensure that we have 

408
00:19:56,960 --> 00:19:59,760
the best people well supported 
to do a good job. 

409
00:19:59,960 --> 00:20:02,320
I think my favourite thing, 
which I love from our leadership

410
00:20:02,360 --> 00:20:05,360
is the announcement made at the 
start of this year, which is 

411
00:20:05,440 --> 00:20:08,720
that we're going to continue to 
use AI and other technologies to

412
00:20:08,720 --> 00:20:11,240
explore opportunities. 
But simultaneously, we're still 

413
00:20:11,240 --> 00:20:14,320
committed to recruit 1600 more 
probation officers. 

414
00:20:14,400 --> 00:20:16,560
We know it's not easy. 
But we know it's also super 

415
00:20:16,560 --> 00:20:18,280
important. 
And I think, Mike, to your point

416
00:20:18,280 --> 00:20:20,840
about a senior probation officer
saying, oh, am I just having 

417
00:20:20,840 --> 00:20:23,080
more technology solutions to do 
more work? 

418
00:20:23,360 --> 00:20:24,800
I think it's a fair thing to 
flag. 

419
00:20:24,800 --> 00:20:26,960
And that's why in our world 
we're saying, well, we don't 

420
00:20:26,960 --> 00:20:29,440
simply say time savings, time 
savings, time savings. 

421
00:20:29,640 --> 00:20:32,680
That isn't simply the goal. 
When it talks to if I talk about

422
00:20:32,680 --> 00:20:35,400
transcription summarisation, the
things that I noticed landing 

423
00:20:35,400 --> 00:20:37,960
better with leadership at the 
moment is actually like the 

424
00:20:37,960 --> 00:20:40,640
conversation and engagement. 
The people involved in the pilot

425
00:20:40,640 --> 00:20:43,480
so far, they still might take 
the occasional notes that helps 

426
00:20:43,480 --> 00:20:45,320
remember something that's 
important step, but their 

427
00:20:45,320 --> 00:20:47,800
conversations feel more human, 
more natural. 

428
00:20:47,880 --> 00:20:50,080
People probation have been 
telling us things like, yeah, it

429
00:20:50,440 --> 00:20:52,880
feels like a nicer conversation.
You're not looking down all the 

430
00:20:52,880 --> 00:20:54,560
time, you're not writing all the
time. 

431
00:20:54,640 --> 00:20:58,360
So that pure golden outcome of 
having a better relationship is 

432
00:20:58,360 --> 00:21:00,960
super important to me. 
Also things like, and I found 

433
00:21:00,960 --> 00:21:02,640
all the information about you 
and I don't have to ask you the 

434
00:21:02,640 --> 00:21:05,040
same thing again and again, 
those really important parts in 

435
00:21:05,040 --> 00:21:07,320
the crux of the relationship. 
And that's not something that 

436
00:21:07,320 --> 00:21:09,240
would be captured by Tom at time
saving. 

437
00:21:09,440 --> 00:21:11,560
In that context, that doesn't 
matter to the personal patient. 

438
00:21:11,800 --> 00:21:13,720
It's talking about the fact that
they feel like they're being 

439
00:21:13,720 --> 00:21:17,120
well supported, that AI can only
support to help people get the 

440
00:21:17,120 --> 00:21:19,240
best out of working life. 
You'll be fools to say good 

441
00:21:19,240 --> 00:21:21,120
news. 
You're using AI to simply still 

442
00:21:21,120 --> 00:21:23,400
feel busy, but now use AI to 
feel busy. 

443
00:21:23,480 --> 00:21:26,240
We want people to wake up, go to
their working life and finish at

444
00:21:26,240 --> 00:21:29,840
5:00 to say, Gee, I've got time 
to, you know, decompress and 

445
00:21:29,840 --> 00:21:31,600
relax. 
We want people to have time to 

446
00:21:31,600 --> 00:21:33,560
take lunch breaks. 
We want people to have time to 

447
00:21:33,560 --> 00:21:36,080
have headspace to go. 
I've just had a meeting and I've

448
00:21:36,080 --> 00:21:38,120
just remembered, let me speak to
social works. 

449
00:21:38,120 --> 00:21:40,120
Let me speak to police. 
I think what we observed today 

450
00:21:40,120 --> 00:21:42,800
is people are cognitively so 
busy, sometimes they don't have 

451
00:21:42,800 --> 00:21:45,160
headspace to think of the best 
decision for the personal 

452
00:21:45,160 --> 00:21:46,520
probation for the safer 
communities. 

453
00:21:46,720 --> 00:21:49,040
It's super hard. 
But Mike, I think your point, we

454
00:21:49,040 --> 00:21:51,360
internally as well as certainly 
need to find that Trump 

455
00:21:51,440 --> 00:21:53,720
retreatment, getting the best 
people in and sporting our best 

456
00:21:53,720 --> 00:21:56,200
people as well as helping them 
with the best tools. 

457
00:21:56,480 --> 00:21:59,920
Tell them to do awesome work. 
Really important on my radar. 

458
00:21:59,920 --> 00:22:01,440
Yeah, that's. 
Pretty important to recognise 

459
00:22:01,440 --> 00:22:03,800
and you know the probation 
officer training programme does 

460
00:22:03,800 --> 00:22:05,960
take time and it's important 
that it does take time. 

461
00:22:05,960 --> 00:22:09,960
So in relation to what's just 
being talked about there that a 

462
00:22:09,960 --> 00:22:13,360
key statement that jumped out to
me in the AIA action plan for 

463
00:22:13,360 --> 00:22:16,800
justice is a statement around AI
should enable human talent, 

464
00:22:16,800 --> 00:22:18,560
skill and judgement, not replace
it. 

465
00:22:18,880 --> 00:22:23,520
So that recognition that we do 
need a fully staffed probation 

466
00:22:23,520 --> 00:22:28,560
service with all those skills 
and AI is there to enable it and

467
00:22:28,560 --> 00:22:31,160
not to replace it. 
That's all true, but I suppose 

468
00:22:31,160 --> 00:22:34,840
my question is still, what 
happens if we don't achieve it? 

469
00:22:34,920 --> 00:22:37,200
You know? 
What happens if probation just 

470
00:22:37,200 --> 00:22:42,120
ceases to be an attractive 
profession for enough young 

471
00:22:42,120 --> 00:22:46,320
people, or the Home Office or 
the Ministry of Justice decides 

472
00:22:46,680 --> 00:22:50,360
with limited resources they 
would rather invest in tech than

473
00:22:50,360 --> 00:22:52,680
in people? 
I don't think either of those 

474
00:22:52,680 --> 00:22:56,480
scenarios are entirely out of 
the picture, although I 

475
00:22:56,480 --> 00:22:59,640
understand. 
I do get that the the rhetoric 

476
00:22:59,800 --> 00:23:04,680
about how we should use AI 
wisely and well just presume 

477
00:23:04,680 --> 00:23:06,480
that there are going to be 
enough people. 

478
00:23:06,760 --> 00:23:09,480
But if there aren't, what 
happens then? 

479
00:23:09,480 --> 00:23:14,680
The Council of Europe ethical 
recommendation on AI and 

480
00:23:14,960 --> 00:23:20,040
prisons, which came out in 2024.
The work began on it in 2021. 

481
00:23:20,360 --> 00:23:25,520
But the point I want to make 
about it is that even though I 

482
00:23:25,600 --> 00:23:30,000
only worked on it for a year and
left because I felt that the 

483
00:23:30,000 --> 00:23:34,200
whole Council of Europe ethos 
was a desperation to insist that

484
00:23:34,200 --> 00:23:37,320
there have to be benefits, 
benefits, benefits across public

485
00:23:37,320 --> 00:23:39,000
service and across criminal 
justice. 

486
00:23:39,040 --> 00:23:42,320
And I didn't like being 
constrained by that kind of 

487
00:23:42,320 --> 00:23:45,600
attitude when I can see what the
benefits of AI are going to be 

488
00:23:45,600 --> 00:23:49,640
in scientific innovation and 
military security and maybe 

489
00:23:49,640 --> 00:23:53,000
economic growth. 
But I find the case about AI is 

490
00:23:53,000 --> 00:23:56,000
going to transform public 
service for the better than 

491
00:23:56,000 --> 00:23:58,320
that. 
We may never have enough of the 

492
00:23:58,320 --> 00:24:00,800
human element in the public 
services of the future. 

493
00:24:00,800 --> 00:24:03,120
Rather worrying. 
And what that Council of Europe 

494
00:24:03,120 --> 00:24:07,560
report said in an appendix was 
that you could with emerging and

495
00:24:07,560 --> 00:24:12,400
existing technologies automates 
a great deal of what probation 

496
00:24:12,400 --> 00:24:15,480
officers already do right. 
That would have included risk 

497
00:24:15,480 --> 00:24:18,440
assessments, online 
rehabilitation courses, 

498
00:24:18,440 --> 00:24:21,520
monitoring their location and 
behaviour in the community, 

499
00:24:21,560 --> 00:24:25,000
giving them self help tools to 
use after release, even using 

500
00:24:25,000 --> 00:24:28,480
chat bots for counselling and 
practise and and finally having 

501
00:24:28,480 --> 00:24:31,760
a a technological way of doing 
the dialogical bits of 

502
00:24:31,760 --> 00:24:33,960
probation. 
Now the Council of Europe 

503
00:24:34,000 --> 00:24:38,240
emphatically said don't do that,
but it was interesting all the 

504
00:24:38,240 --> 00:24:42,840
same that their expert said it 
could be done and the ethical 

505
00:24:42,840 --> 00:24:46,360
recommendation is not 
enforceable if countries want. 

506
00:24:46,360 --> 00:24:49,280
If member countries want to do 
it differently and push 

507
00:24:49,280 --> 00:24:53,400
automation further in public 
services in general and 

508
00:24:53,400 --> 00:24:56,840
probation in particular, there 
are very few constraints on 

509
00:24:56,840 --> 00:25:00,840
them, legal or ethical, to 
prevent them doing that right? 

510
00:25:00,880 --> 00:25:04,880
So without wanting to dispute 
the technologies that are in use

511
00:25:04,880 --> 00:25:07,840
now and the good intentions 
behind it all and the 

512
00:25:07,840 --> 00:25:11,720
assumptions that we will have a 
fully human workforce, I just 

513
00:25:11,720 --> 00:25:15,280
want to step back and say what 
if we don't get that good 

514
00:25:15,280 --> 00:25:19,000
surrounding human environments? 
What kind of decisions in a 

515
00:25:19,000 --> 00:25:23,240
world of limited resources will 
government agencies take about 

516
00:25:23,240 --> 00:25:26,040
the best way to manage offenders
in the community? 

517
00:25:26,120 --> 00:25:29,080
And it isn't a foregone 
conclusion to me that they will 

518
00:25:29,080 --> 00:25:31,760
support the humanly grounded 
model. 

519
00:25:31,840 --> 00:25:35,640
They might just want to automate
a lot more of probation that 

520
00:25:35,640 --> 00:25:37,880
anybody is actually talking 
about doing at the moment. 

521
00:25:38,040 --> 00:25:38,600
Yeah. 
Thank you. 

522
00:25:38,600 --> 00:25:40,760
Mike, I think you raised some 
valid concerns. 

523
00:25:40,840 --> 00:25:42,040
Louis, did you have any 
thoughts? 

524
00:25:42,400 --> 00:25:45,240
I think my take on that is 
ultimately what we're starting 

525
00:25:45,240 --> 00:25:48,720
to see, not simply probation but
other sectors, is that we will 

526
00:25:48,720 --> 00:25:52,000
need to start leaning into what 
we define as the best ideal 

527
00:25:52,000 --> 00:25:54,040
future of work. 
What does work look like when 

528
00:25:54,040 --> 00:25:57,440
you have tools that can help you
do things which are informing, 

529
00:25:57,440 --> 00:25:59,240
enhancing, supporting your 
practise. 

530
00:25:59,360 --> 00:26:02,760
But it's a really hard sweet 
spot to define and I don't think

531
00:26:02,760 --> 00:26:05,280
anyone in the world has defined 
this, let alone for probation, 

532
00:26:05,280 --> 00:26:07,680
but for other contexts. 
What happens in years in the 

533
00:26:07,680 --> 00:26:10,800
future to say we start having 
tools that change the way we go 

534
00:26:10,800 --> 00:26:13,480
about our day-to-day life? 
How does that change the work? 

535
00:26:14,520 --> 00:26:17,000
Obviously we need to make sure 
we have our best people 

536
00:26:17,000 --> 00:26:19,360
supported and recruited. 
But if we look at the crux of 

537
00:26:19,360 --> 00:26:21,960
the relationships, the risk 
factors, the protective factors,

538
00:26:22,040 --> 00:26:24,080
I think these are the things 
that we still hold true, the 

539
00:26:24,080 --> 00:26:26,120
things that we won't have 
technology touch. 

540
00:26:26,200 --> 00:26:28,720
It would be more looking into 
what that looks like. 

541
00:26:29,080 --> 00:26:30,760
So it's part of the work that 
we're doing now. 

542
00:26:30,800 --> 00:26:34,000
We're giving people helpful 
tools and we're also making sure

543
00:26:34,000 --> 00:26:37,040
that we work with evaluation 
leads to see, well, what do we 

544
00:26:37,040 --> 00:26:39,240
observe on the field? 
What do people do differently? 

545
00:26:39,320 --> 00:26:41,480
But what do we observe in that 
practise? 

546
00:26:41,480 --> 00:26:43,720
What are the behaviours that we 
want to promote and what are the

547
00:26:43,720 --> 00:26:46,320
behaviours actually we need to 
support further. 

548
00:26:46,320 --> 00:26:48,840
So one thing that we're doing in
our unit, which keeps us very 

549
00:26:48,840 --> 00:26:52,400
busy but super important is not 
simply provide or build 

550
00:26:52,600 --> 00:26:55,000
solutions. 
It's also to evaluate what what 

551
00:26:55,000 --> 00:26:57,960
actually happens. 
What do people do behaviourally 

552
00:26:57,960 --> 00:26:59,880
as well as what do they think 
think about it, what do they say

553
00:26:59,880 --> 00:27:02,000
about it? 
So I think in the bigger picture

554
00:27:02,000 --> 00:27:05,000
there will be a very different 
future of work for loads of 

555
00:27:05,000 --> 00:27:07,320
context, including probation, 
which is why it's important that

556
00:27:07,320 --> 00:27:09,200
people like me don't lose track 
of that. 

557
00:27:09,240 --> 00:27:11,560
So those are the things that 
we're leaning into and it helps 

558
00:27:11,560 --> 00:27:15,000
us improve the way that we use 
technology in the way that it 

559
00:27:15,000 --> 00:27:16,440
supports. 
It doesn't replace people. 

560
00:27:16,520 --> 00:27:18,360
Thank you, Louis. 
Yeah, it's really interesting 

561
00:27:18,360 --> 00:27:21,120
about the evaluation and what 
you observe people doing in 

562
00:27:21,120 --> 00:27:23,000
practise, how it might change 
practise. 

563
00:27:23,440 --> 00:27:26,240
And if people are interested in 
looking at the work and how we 

564
00:27:26,240 --> 00:27:28,800
consider evaluation, one thing 
I'd recommend people looking 

565
00:27:28,800 --> 00:27:32,600
into is our safety framework. 
So it's a framework that was 

566
00:27:32,600 --> 00:27:36,400
built in collaboration with our 
brilliant teams internally and 

567
00:27:36,400 --> 00:27:39,360
the Allen Chewing Institute. 
Essentially it says in the midst

568
00:27:39,400 --> 00:27:42,160
of thinking about an idea, 
building an idea, or having an 

569
00:27:42,160 --> 00:27:45,080
idea being used by real people 
in a real world environment, we 

570
00:27:45,080 --> 00:27:46,760
talk about ethics in divisive 
ways. 

571
00:27:46,760 --> 00:27:51,440
And that looks about from the 
societal sustainability angles 

572
00:27:51,440 --> 00:27:53,600
as well as like behaviour. 
So one of the things that we are

573
00:27:53,680 --> 00:27:58,000
lucky to benefit from, we've got
some data ethics leads who help 

574
00:27:58,000 --> 00:28:00,160
us be well informed from an 
evaluation perspective. 

575
00:28:00,160 --> 00:28:01,920
So we'd recommend people have 
looked if they're interested. 

576
00:28:02,040 --> 00:28:02,960
Yeah. 
Thank you, David. 

577
00:28:02,960 --> 00:28:04,240
Yeah. 
And that's an interesting point 

578
00:28:04,240 --> 00:28:06,840
about ethics, because that's 
your point, Mike, isn't it about

579
00:28:06,840 --> 00:28:10,160
how can we make sure it is 
still, you know, a service that 

580
00:28:10,520 --> 00:28:14,200
isn't all automated, that has 
that at its heart about people? 

581
00:28:14,240 --> 00:28:17,800
So linked to that probation work
is rooted in relationships and 

582
00:28:17,800 --> 00:28:20,960
professional judgement. 
So how do you think AI and 

583
00:28:20,960 --> 00:28:23,880
technologies like electronic 
monitoring might support or 

584
00:28:23,880 --> 00:28:25,600
challenge this core part of the 
world? 

585
00:28:25,920 --> 00:28:30,240
Well, I've already indicated 
what some of my fears are about 

586
00:28:30,240 --> 00:28:33,680
that, because in a world of 
limited resources, I'm not sure 

587
00:28:33,680 --> 00:28:38,080
what constraints there would be 
on using technology more than 

588
00:28:38,080 --> 00:28:41,160
might be warranted. 
In the early days of electronic 

589
00:28:41,160 --> 00:28:43,960
monitoring, one of the Home 
Office researchers said about it

590
00:28:44,120 --> 00:28:46,680
that the Home Office wants to 
use electronic monitoring in 

591
00:28:46,680 --> 00:28:49,520
ways that go beyond the evidence
of its usefulness. 

592
00:28:49,520 --> 00:28:53,280
And there was evidence of its 
usefulness, but the Home Office 

593
00:28:53,280 --> 00:28:55,520
wanted to to take it further 
than that. 

594
00:28:55,520 --> 00:28:58,200
And perhaps that's in in the 
nature of technological 

595
00:28:58,200 --> 00:29:01,880
innovation, one has to invest in
uncertain outcomes. 

596
00:29:02,080 --> 00:29:04,840
Now it was interesting to me 
though, and this was one of the 

597
00:29:04,840 --> 00:29:08,360
bases on which I was supportive 
of electronic monitoring, is 

598
00:29:08,360 --> 00:29:10,840
that there was some research 
done in Canada at the turn of 

599
00:29:10,840 --> 00:29:13,840
the century that showed how 
electronic monitoring could be 

600
00:29:13,840 --> 00:29:16,000
used to support rehabilitative 
programmes. 

601
00:29:16,040 --> 00:29:19,920
Now that research was very 
influential in mainland European

602
00:29:19,920 --> 00:29:23,960
probation services. 
It was of 0 influence in the 

603
00:29:23,960 --> 00:29:26,800
England and Wales Probation 
Service because we didn't 

604
00:29:26,800 --> 00:29:29,600
combine the electronic 
monitoring and probation in the 

605
00:29:29,600 --> 00:29:32,920
single organisation. 
We we created degrees of 

606
00:29:32,920 --> 00:29:36,000
tensions between the private 
company and the probation 

607
00:29:36,000 --> 00:29:39,640
service and quite often the 
government was giving the 

608
00:29:39,640 --> 00:29:42,560
impression that it favoured the 
approach of the private company 

609
00:29:42,560 --> 00:29:45,760
more than it favoured the social
work approach of the probation 

610
00:29:45,760 --> 00:29:48,240
service. 
So I've yet to be convinced that

611
00:29:48,240 --> 00:29:52,080
a similar dynamic won't kick in 
with artificial intelligence. 

612
00:29:52,080 --> 00:29:55,080
And I am alarmed by the fact 
that at the moment the Ministry 

613
00:29:55,080 --> 00:29:58,640
of Justice is openly saying that
it wants to use electronic 

614
00:29:58,640 --> 00:30:00,480
monitoring in more punitive 
ways. 

615
00:30:00,760 --> 00:30:04,600
Right the the rhetoric is now 
prison outside prison or 

616
00:30:04,600 --> 00:30:08,840
incarceration without walls, all
enabled by electronic 

617
00:30:08,840 --> 00:30:11,800
monitoring. 
Now to a certain probation cast 

618
00:30:11,800 --> 00:30:15,360
of mind that is anathema. 
And it is once again taking 

619
00:30:15,360 --> 00:30:18,560
electronic monitoring in an 
ultra punitive direction, which 

620
00:30:18,560 --> 00:30:21,960
is precisely what I didn't want 
to see and what I at one time 

621
00:30:21,960 --> 00:30:26,160
hoped the value base of the 
probation service would resist. 

622
00:30:26,200 --> 00:30:30,160
And in in Europe I see some 
shaping of electronic monitoring

623
00:30:30,160 --> 00:30:33,120
by probation values, but I 
haven't seen it here. 

624
00:30:33,240 --> 00:30:35,640
It's really interesting the 
point though, that you make 

625
00:30:35,640 --> 00:30:39,640
about the fact that electronic 
monitoring is delivered by an 

626
00:30:39,640 --> 00:30:42,960
external organisation. 
And I think something to bear in

627
00:30:42,960 --> 00:30:46,000
mind when we're looking at AI 
and how that's embedded. 

628
00:30:46,000 --> 00:30:48,920
And I think that point is a 
really important one about how 

629
00:30:48,920 --> 00:30:52,200
the relationship is managed 
between who's delivering it and 

630
00:30:52,200 --> 00:30:54,960
who's in charge of it. 
And it's probably worth saying 

631
00:30:54,960 --> 00:30:58,120
at this point that it is now the
policy of the Probation 

632
00:30:58,120 --> 00:31:01,200
Institute to incorporate 
electronic monitoring within the

633
00:31:01,200 --> 00:31:04,600
probation service. 
Now that would transform our 

634
00:31:04,600 --> 00:31:08,160
probation service and make it 
more like the European probation

635
00:31:08,160 --> 00:31:11,160
services in ways that we've 
never done before. 

636
00:31:11,160 --> 00:31:14,560
And if we're going to have a 
more technological service in 

637
00:31:14,560 --> 00:31:16,680
general, that makes a great deal
of sense. 

638
00:31:16,680 --> 00:31:19,800
I mean, the time was when 
probation didn't want electronic

639
00:31:19,800 --> 00:31:23,720
monitoring within it's 
boundaries on the principle that

640
00:31:23,720 --> 00:31:26,960
if, if electronic monitoring 
fails, we can blame the private 

641
00:31:26,960 --> 00:31:29,080
sector. 
But electronic monitoring isn't 

642
00:31:29,200 --> 00:31:31,600
going to fail if you use it 
wisely and well. 

643
00:31:31,920 --> 00:31:34,840
And there are no good 
administrative reasons as to why

644
00:31:34,840 --> 00:31:36,720
in England and Wales we 
shouldn't do what the 

645
00:31:36,720 --> 00:31:38,600
Scandinavian countries have 
done. 

646
00:31:38,920 --> 00:31:42,680
I mean, the Swedish Probation 
Service actually employs an AI 

647
00:31:42,680 --> 00:31:45,920
manager who is now in charge of 
all technology in the Swedish 

648
00:31:45,920 --> 00:31:47,920
probation service. 
He is like you, Louis. 

649
00:31:47,920 --> 00:31:51,760
He's an AI engineer and he gets 
probation, he gets the Swedish 

650
00:31:51,760 --> 00:31:54,160
probation service. 
And that has worked out for 

651
00:31:54,160 --> 00:31:56,120
them. 
But it's worked out for them in 

652
00:31:56,120 --> 00:31:59,760
my view, because they are not as
relentlessly punitive in their 

653
00:31:59,760 --> 00:32:03,360
approach to offenders in the in 
the Nordic countries as we are. 

654
00:32:03,560 --> 00:32:07,000
And my fear that in the 
political and penal culture that

655
00:32:07,000 --> 00:32:11,760
we have, that technology will be
used badly, despite the best 

656
00:32:11,760 --> 00:32:14,960
intentions of the people who are
developing it, is very real. 

657
00:32:15,400 --> 00:32:18,440
And Louis, if you've got any 
thoughts about the roll out of 

658
00:32:18,600 --> 00:32:23,240
AI and how it can be managed to 
support that rebuild rather than

659
00:32:23,240 --> 00:32:25,960
risk focused approach? 
In provision, yeah, for sure. 

660
00:32:26,360 --> 00:32:29,280
Some of our staff have joined 
because they're excited to make 

661
00:32:29,280 --> 00:32:31,200
a difference. 
They might have dyslexia, might 

662
00:32:31,200 --> 00:32:33,200
have English as an additional 
language, they might have 

663
00:32:33,200 --> 00:32:36,480
dyspraxia, they might find it 
difficult to get through the 

664
00:32:36,480 --> 00:32:38,720
amount of paperwork on a 
day-to-day basis. 

665
00:32:38,720 --> 00:32:40,760
So one of the benefits we're 
observing right now, which is 

666
00:32:40,760 --> 00:32:43,640
coming through the training as 
well as the actual feedback, is 

667
00:32:43,640 --> 00:32:46,160
that it helps people with a 
lower barrier of entry. 

668
00:32:46,240 --> 00:32:48,720
I've had some staff come to me 
personally and just say thank 

669
00:32:48,720 --> 00:32:50,560
you because PPC, I was close to 
quitting. 

670
00:32:50,560 --> 00:32:52,720
I felt really struggling with 
the amount of paperwork. 

671
00:32:52,880 --> 00:32:54,600
They love the nature of the 
work. 

672
00:32:54,600 --> 00:32:57,760
It is hard, it is complex, and 
it was struggling with just 

673
00:32:57,960 --> 00:33:00,600
keeping track of everything. 
And they're helping themselves 

674
00:33:00,600 --> 00:33:03,520
by using dentive AI in a way 
that helps them understand 

675
00:33:03,520 --> 00:33:05,840
information, easily identify 
actions. 

676
00:33:05,840 --> 00:33:08,760
Again, only as an assistant. 
The other things that I've seen 

677
00:33:08,760 --> 00:33:11,840
so far, so helping people focus 
on the more human parts of work.

678
00:33:11,920 --> 00:33:15,000
I lose to it earlier, but 
transcription summarisation work

679
00:33:15,000 --> 00:33:17,280
is my favourite example. 
We've been seeing people just 

680
00:33:17,280 --> 00:33:20,560
say, look, it's not simply about
saving me time, it's actually 

681
00:33:20,560 --> 00:33:23,360
about me feeling more engaged. 
Like wow, you observe things, 

682
00:33:23,360 --> 00:33:25,440
this is something subtle. 
I didn't appreciate it really. 

683
00:33:25,440 --> 00:33:28,240
But we've had people say, I 
didn't realise it before, but 

684
00:33:28,320 --> 00:33:30,560
when this person would speak 
about a certain topic, hands 

685
00:33:30,560 --> 00:33:34,480
would trench the body language 
changes and previously I had to 

686
00:33:34,480 --> 00:33:36,720
look down and now I'm seeing 
these subtle changes. 

687
00:33:37,080 --> 00:33:39,040
But again, that's what 
technology, yes, it helps you 

688
00:33:39,040 --> 00:33:41,120
focus on the human parts, but 
it's only because it's 

689
00:33:41,120 --> 00:33:44,920
deliberately been built in a way
that gives the people meaningful

690
00:33:44,920 --> 00:33:46,880
control. 
So focusing more human elements 

691
00:33:47,320 --> 00:33:49,360
and finding information, that's 
really important sooner not 

692
00:33:49,360 --> 00:33:51,560
later. 
So finding information and 

693
00:33:51,560 --> 00:33:54,920
understanding it as well. 
For example, I saw recently was 

694
00:33:55,280 --> 00:33:57,960
a case where someone was saying,
oh, I've just had like 

695
00:33:57,960 --> 00:34:00,720
information about drug supports 
and I can't remember the top of 

696
00:34:00,720 --> 00:34:04,240
my head. 
What is the nanograms to warrant

697
00:34:04,240 --> 00:34:06,560
it being that they've actually 
consumed it or been in the 

698
00:34:06,560 --> 00:34:09,239
facility of it. 
Oh, let me find what is the 

699
00:34:09,239 --> 00:34:11,520
actual guidelines. 
What is the policy currently? 

700
00:34:11,520 --> 00:34:14,679
I found the policy quickly. 
I found information and now I 

701
00:34:14,679 --> 00:34:16,480
can remind myself against the 
actual results. 

702
00:34:16,639 --> 00:34:18,040
Oh, a few. 
That means that they might have 

703
00:34:18,040 --> 00:34:19,480
been in proximity but not taking
it. 

704
00:34:19,480 --> 00:34:21,360
That's good. 
It's helped me find information,

705
00:34:21,360 --> 00:34:24,040
find policies, understand them 
as well as find information 

706
00:34:24,040 --> 00:34:26,960
about the person themselves. 
And it's like AI as an 

707
00:34:26,960 --> 00:34:30,040
opportunity to also just be more
supportive for new staff. 

708
00:34:30,040 --> 00:34:33,679
But we're piloting tools like 
Dot Lee from the Taught by Human

709
00:34:33,679 --> 00:34:35,639
company. 
We're helping them with AI 

710
00:34:35,639 --> 00:34:39,480
assistance to help learn about 
topic, collect on a topic, but 

711
00:34:39,480 --> 00:34:42,320
simply regurgitate an answer or 
you're always correct. 

712
00:34:42,480 --> 00:34:45,080
You're fantastic. 
Some of that parent like Dynamic

713
00:34:45,080 --> 00:34:49,120
been excited to use AI to help 
staff have better reflective 

714
00:34:49,159 --> 00:34:51,239
processes to go about learning a
thing. 

715
00:34:51,480 --> 00:34:53,639
But there are risks. 
So I think it's worth lagging. 

716
00:34:53,880 --> 00:34:55,760
Ultimately, this is a new 
technology. 

717
00:34:55,880 --> 00:34:58,000
This is something that people 
have never seen before and 

718
00:34:58,080 --> 00:35:00,160
people are having to be 
understanding like that this is 

719
00:35:00,160 --> 00:35:03,640
a nondeterministic technology. 
It's about helping me, but it 

720
00:35:03,640 --> 00:35:05,920
can't just give me a binary 
right or wrong thing. 

721
00:35:05,920 --> 00:35:08,480
Sometimes you got to reflect on 
the thing, critique the thing, 

722
00:35:08,520 --> 00:35:09,600
own the thing. 
The fact that it's 

723
00:35:09,600 --> 00:35:11,160
conversational is really alien 
to people. 

724
00:35:11,160 --> 00:35:14,560
I think whenever we do in the 
past, say I communicate with my 

725
00:35:14,560 --> 00:35:16,840
tools, I converse with them to 
get the best answer. 

726
00:35:17,120 --> 00:35:19,000
That never happened. 
So the example of the drug 

727
00:35:19,000 --> 00:35:21,800
report, it wasn't a one way 
conversation. 

728
00:35:22,000 --> 00:35:24,120
That's so different. 
It's part of that risk. 

729
00:35:24,200 --> 00:35:27,920
How do we give our brilliant 
staff bit of headspace to safely

730
00:35:27,920 --> 00:35:30,360
try something and feel 
comfortable being empowered? 

731
00:35:30,440 --> 00:35:32,600
And the other thing we're 
interested in is this is a tool 

732
00:35:32,600 --> 00:35:34,000
that supports professional 
judgement. 

733
00:35:34,080 --> 00:35:35,960
It can't replace the really 
important skills. 

734
00:35:35,960 --> 00:35:38,480
So we don't want people to 
become overlined by accident. 

735
00:35:38,600 --> 00:35:41,520
We need to encourage and promote
those really important human 

736
00:35:41,520 --> 00:35:45,480
skills, the motivational 
interviewing, analysis, etc. 

737
00:35:45,600 --> 00:35:48,120
But this is a tool that 
supports, doesn't take over. 

738
00:35:48,120 --> 00:35:50,880
So that's baked into not simply 
the things we build, but how we 

739
00:35:50,880 --> 00:35:52,600
train people and support them 
with using it. 

740
00:35:52,720 --> 00:35:55,440
When we give people new tools, 
we have to think of it as the 

741
00:35:55,440 --> 00:35:57,520
bigger picture. 
What type of help do they 

742
00:35:57,960 --> 00:35:59,920
potentially need? 
We wanted to be really clear. 

743
00:36:00,040 --> 00:36:02,320
This is how you get started, 
this is how you get help, and 

744
00:36:02,320 --> 00:36:04,440
this is how to use it safely in 
a way that promotes your skills,

745
00:36:04,440 --> 00:36:07,040
not replacing. 
So just for context, like the 

746
00:36:07,040 --> 00:36:09,920
Justice AI unit, we're not 
simply recruiting people like me

747
00:36:09,960 --> 00:36:12,160
who are building things, 
engineering things. 

748
00:36:12,320 --> 00:36:15,200
We're also recruiting quite a 
lot of adoption support people, 

749
00:36:15,200 --> 00:36:18,440
customer success people who just
really care about understanding 

750
00:36:18,440 --> 00:36:20,840
the problem space and helping 
someone get the best out of a 

751
00:36:20,840 --> 00:36:22,440
tool. 
It's really interesting point 

752
00:36:22,440 --> 00:36:26,240
about AI could be used for. 
So if you get given a case from 

753
00:36:26,240 --> 00:36:28,320
someone else, for example, and 
actually could to quickly 

754
00:36:28,320 --> 00:36:30,760
summarise some of the key points
about that individual. 

755
00:36:30,800 --> 00:36:33,720
If you are time short to get up 
to date with the case before you

756
00:36:33,720 --> 00:36:36,680
meet them, because then you know
the individual know that you've 

757
00:36:36,680 --> 00:36:38,560
just remembering. 
When I met some of them, they 

758
00:36:38,600 --> 00:36:40,600
said, oh, you've done your 
homework Kerry, like you know 

759
00:36:40,600 --> 00:36:42,320
about me. 
And I was like, yeah, of course 

760
00:36:42,320 --> 00:36:44,640
I'm going to try and find out a 
bit about you before. 

761
00:36:44,640 --> 00:36:47,040
But I suppose it's just some 
people might have concerns about

762
00:36:47,120 --> 00:36:50,200
the information that it's using 
because if there's ever any 

763
00:36:50,200 --> 00:36:52,320
mistakes in there or anything 
like that, maybe you wouldn't 

764
00:36:52,320 --> 00:36:54,160
know. 
So I suppose it's always relying

765
00:36:54,160 --> 00:36:56,240
on the data that goes in 
perhaps. 

766
00:36:56,240 --> 00:36:59,920
But I can see how some of those 
things might help reduce time 

767
00:36:59,920 --> 00:37:02,400
but also help when you're time 
pressured as well. 

768
00:37:02,880 --> 00:37:05,000
That could have a good with 
individuals. 

769
00:37:05,280 --> 00:37:06,760
Absolutely. 
And I think there's a nice way 

770
00:37:06,760 --> 00:37:10,720
to frame it going back to the AI
action plan, which is this next 

771
00:37:10,720 --> 00:37:13,200
year we're really focusing on 
investing in our foundations 

772
00:37:13,200 --> 00:37:15,600
that includes the data. 
Most of our data isn't as good a

773
00:37:15,600 --> 00:37:18,000
quality as we need it to be to 
truly leverage emerging 

774
00:37:18,000 --> 00:37:19,960
technology. 
So one part is looking at that 

775
00:37:19,960 --> 00:37:23,240
data set and going, actually 
this might need improving 

776
00:37:23,280 --> 00:37:26,120
through XY and Z processes 
because otherwise we might be 

777
00:37:26,120 --> 00:37:29,880
regurgitating things which won't
be both useful in the outcome 

778
00:37:29,880 --> 00:37:32,200
that we want, but investing in 
our foundations, which is 

779
00:37:32,240 --> 00:37:33,120
something I'm really proud 
about. 

780
00:37:33,120 --> 00:37:35,720
As part of our plan, we don't 
simply say foundations means 

781
00:37:35,720 --> 00:37:38,880
data and quality of data. 
It also means the foundations of

782
00:37:38,880 --> 00:37:42,040
helping our people feel they are
empowered to know how to use it 

783
00:37:42,040 --> 00:37:43,920
all, when to use it all, and now
to do so safely. 

784
00:37:44,080 --> 00:37:45,240
But no, that's a really 
fairpoint. 

785
00:37:45,400 --> 00:37:47,960
Thank you, Kate. 
And that's something that I 

786
00:37:47,960 --> 00:37:49,280
don't know how Mike feels about 
it. 

787
00:37:49,280 --> 00:37:50,800
I'll be interested to hear 
shortly. 

788
00:37:50,800 --> 00:37:54,000
But hopefully is a bit different
to the how the electronic 

789
00:37:54,000 --> 00:37:57,040
monitoring was rolled out 
because it's not like there's a 

790
00:37:57,160 --> 00:38:00,080
completely different private 
company that is in charge of the

791
00:38:00,520 --> 00:38:04,280
AI and is saying, look, we're in
charge of this, we're running AI

792
00:38:04,280 --> 00:38:07,640
within probation. 
We have ownership of this. 

793
00:38:07,640 --> 00:38:11,640
It sounds like it's certainly 
being developed, developed and 

794
00:38:11,640 --> 00:38:15,000
delivered with the skills and 
the approaches of the probation 

795
00:38:15,000 --> 00:38:19,320
staff in mind and recognises all
of that rather than an external 

796
00:38:19,320 --> 00:38:22,360
organisation not taking that 
into consideration. 

797
00:38:22,360 --> 00:38:25,680
And then who could potentially 
be blamed if it goes wrong or, 

798
00:38:25,680 --> 00:38:28,680
but I don't know if that's what 
you're hearing as well, Mike or 

799
00:38:28,680 --> 00:38:32,120
if that addresses any of your 
concerns about the difference or

800
00:38:32,120 --> 00:38:35,080
similarity with electronic? 
Yes, I mean there are 

801
00:38:35,080 --> 00:38:37,880
differences in the electronic 
monitoring was a much more 

802
00:38:37,880 --> 00:38:40,720
limited intervention than the 
kind of things that have been 

803
00:38:40,720 --> 00:38:44,200
envisaged by AI. 
And potentially it was a tool 

804
00:38:44,200 --> 00:38:47,000
that probation officers could 
easily have got their heads 

805
00:38:47,000 --> 00:38:49,720
round as they did in the 
Netherlands, as they did in in 

806
00:38:49,720 --> 00:38:52,480
Scandinavia. 
And within a certain political 

807
00:38:52,480 --> 00:38:55,560
culture they could have used 
that technology wisely and well.

808
00:38:56,000 --> 00:38:59,840
But I keep coming back to the 
the issue about it's, it's all 

809
00:38:59,840 --> 00:39:05,280
very well to to talk up the 
micro uses of AI technologies in

810
00:39:05,320 --> 00:39:08,240
the broadest sense in terms of 
the individual ways in which 

811
00:39:08,240 --> 00:39:11,440
they might help people to to 
process their cases. 

812
00:39:11,440 --> 00:39:14,400
And I agree completely with what
Louis says about these 

813
00:39:14,400 --> 00:39:17,640
technologies are found useful by
neurodivergent people. 

814
00:39:17,640 --> 00:39:20,560
I get that. 
I think the the neurodivergent 

815
00:39:20,720 --> 00:39:24,400
argument, while true, I think 
there are limits as to how far 

816
00:39:24,400 --> 00:39:27,760
you can use the argument to 
normalise the development of 

817
00:39:27,760 --> 00:39:31,640
this tech in probation. 
But it is true and the argument 

818
00:39:31,720 --> 00:39:34,360
will be used. 
It's also true, true that all 

819
00:39:34,360 --> 00:39:38,440
our lives, and you know, my, the
younger members of my family all

820
00:39:38,440 --> 00:39:40,480
embody this. 
There will be more technology in

821
00:39:40,480 --> 00:39:42,520
everybody's life. 
We will all have to get used to 

822
00:39:42,520 --> 00:39:45,320
more digital infusion into our 
lives. 

823
00:39:45,320 --> 00:39:48,240
We will become an even more 
hyper connected world. 

824
00:39:48,240 --> 00:39:51,040
And in that sense, probation 
might look odd if it was trying 

825
00:39:51,040 --> 00:39:54,920
to stand outside that. 
But nonetheless, I still want to

826
00:39:54,920 --> 00:39:59,720
register that the things that we
go enthusiastically into in the 

827
00:39:59,720 --> 00:40:03,520
short term may not bring about 
the consequences we envision. 

828
00:40:03,640 --> 00:40:07,920
In the long term, right? 
I am reminded of Lord Timpson 

829
00:40:07,920 --> 00:40:10,880
when he gave the McWilliams 
probation lecturer. 

830
00:40:10,880 --> 00:40:14,680
He boldly quoted the the line 
that is attributed to Bill 

831
00:40:14,680 --> 00:40:17,200
Gates, although apparently it 
originated to somebody else. 

832
00:40:17,200 --> 00:40:20,920
We overestimate what technology 
can do in the short term and 

833
00:40:20,920 --> 00:40:23,520
underestimate what it will do in
the long term. 

834
00:40:23,600 --> 00:40:26,920
Now, when Bill Gates says that, 
it's meant to evoke the idea 

835
00:40:26,920 --> 00:40:30,040
that in the long term it's going
to be fabulous, right? 

836
00:40:30,400 --> 00:40:33,240
But you can turn that round and 
think in the long term it's 

837
00:40:33,240 --> 00:40:36,120
going to be awful. 
But in the short term we just 

838
00:40:36,120 --> 00:40:39,760
can't work that out because 
we're enthusiastic about the 

839
00:40:39,760 --> 00:40:43,280
short term possibilities and we 
won't see what the long term 

840
00:40:43,280 --> 00:40:47,640
disadvantages of it would be in 
the particular political context

841
00:40:47,640 --> 00:40:50,600
and culture in which we are. 
We are introducing these 

842
00:40:50,600 --> 00:40:54,040
technologies into probation. 
Really important point and 

843
00:40:54,720 --> 00:40:59,120
interesting to reflect back on 
Lord Simpson's speech there. 

844
00:40:59,680 --> 00:41:02,800
There's a a briefing on flag in 
this world of what I'm working 

845
00:41:02,800 --> 00:41:05,680
on with other team members. 
Like for us, we have a massive 

846
00:41:05,720 --> 00:41:08,920
obsession with like solving this
thing to make things better. 

847
00:41:08,960 --> 00:41:11,160
And that means having our finger
on the pulse of what is 

848
00:41:11,160 --> 00:41:13,800
happening. 
So if we observe behaviour 

849
00:41:13,800 --> 00:41:17,760
change that isn't what we want 
change that we want to maybe 

850
00:41:17,760 --> 00:41:20,400
support better in other ways, 
then that's some people like me 

851
00:41:20,400 --> 00:41:22,720
to change the way that we build 
the product. 

852
00:41:22,720 --> 00:41:25,600
It's shouldn't be a case where 
we say the tool of today, 

853
00:41:26,640 --> 00:41:29,160
whatever that tool is, it goes 
out and it's used by lots of 

854
00:41:29,160 --> 00:41:30,640
people. 
But we don't want to play like a

855
00:41:30,640 --> 00:41:33,640
game of darts in the dark. 
We want to quickly observe and 

856
00:41:33,640 --> 00:41:36,040
learn what do people love, what 
do people hate and what do we 

857
00:41:36,040 --> 00:41:39,120
observe as the actual tangible 
difference in day-to-day working

858
00:41:39,120 --> 00:41:40,640
life. 
It just means accountability 

859
00:41:40,640 --> 00:41:41,840
wise. 
I don't want to finish my 

860
00:41:41,840 --> 00:41:43,880
working day and go sweet, I'll 
just wait for someone to pick 

861
00:41:43,880 --> 00:41:45,640
up. 
It's like this is on me to make 

862
00:41:45,640 --> 00:41:47,200
better, this is on me to 
improve. 

863
00:41:47,200 --> 00:41:50,080
Yes, I'll happily do however 
much work is needed to make this

864
00:41:50,080 --> 00:41:52,320
come to life in a way that's 
most useful for our brilliant 

865
00:41:52,320 --> 00:41:53,960
probation staff. 
Yeah, thank you. 

866
00:41:53,960 --> 00:41:57,200
So therefore the the concerns 
that Mike's airing and and I'm 

867
00:41:57,200 --> 00:41:59,200
sure you're hearing from them 
from other people as well, 

868
00:41:59,200 --> 00:42:01,920
really important for you to hear
and and hold in mind as you're 

869
00:42:02,000 --> 00:42:05,280
moving forward and all of this. 
Thank you for our P quip 

870
00:42:05,280 --> 00:42:08,320
listeners who are at the start 
of their career is in probation,

871
00:42:08,320 --> 00:42:10,720
what do you think they should 
prioritise in their training and

872
00:42:10,720 --> 00:42:13,800
practise when they're working in
a probation service that we do 

873
00:42:13,800 --> 00:42:16,520
recognise is increasingly shaped
by technology? 

874
00:42:16,640 --> 00:42:19,480
Well, that's a that is a that is
a fair question. 

875
00:42:19,480 --> 00:42:23,200
And if electronic monitoring is 
going to be more commonplace, 

876
00:42:23,200 --> 00:42:27,320
then I think probation officers 
should try and work more 

877
00:42:27,320 --> 00:42:30,400
creatively with it. 
It seems to me now that the era 

878
00:42:30,400 --> 00:42:33,360
where probation is going to 
resist electronic monitoring is 

879
00:42:33,600 --> 00:42:37,560
more or less over, although 
there will be resistance to an 

880
00:42:37,560 --> 00:42:39,840
excess of it. 
Like use it with everybody all 

881
00:42:39,840 --> 00:42:42,040
the time, even if you use it in 
different ways. 

882
00:42:42,040 --> 00:42:45,640
Any attempt to normalise it 
across the whole of supervising 

883
00:42:45,640 --> 00:42:48,560
offenders in the community, 
whether that's sentenced or or 

884
00:42:48,560 --> 00:42:51,640
or released from prison, I think
there would be resistance to 

885
00:42:51,640 --> 00:42:54,320
that. 
But the idea that you can use it

886
00:42:54,320 --> 00:42:57,200
constructively in the way you 
manage offenders in the 

887
00:42:57,200 --> 00:43:01,040
community, I think there is an 
evidence base that helps you to 

888
00:43:01,040 --> 00:43:03,160
do that. 
And I think there are examples 

889
00:43:03,160 --> 00:43:05,560
of good practise from other 
countries which would help 

890
00:43:05,560 --> 00:43:07,840
people do that. 
I mean, I've used this story 

891
00:43:07,960 --> 00:43:12,840
before, but back in 2012, a long
time ago, I went to the 

892
00:43:12,840 --> 00:43:16,920
retirement party of a Dutch 
probation officer who had had 10

893
00:43:16,920 --> 00:43:21,400
years experience of working with
electronic monitoring and 

894
00:43:21,400 --> 00:43:24,960
probation in an integrated way. 
That was 13 years ago. 

895
00:43:25,280 --> 00:43:29,400
Now, to this day, there is no 
probation officer in England who

896
00:43:29,400 --> 00:43:32,640
could even begin to match that 
kind of level of experience 

897
00:43:32,640 --> 00:43:35,520
about how to use electronic 
monitoring wisely and well. 

898
00:43:35,560 --> 00:43:38,920
But such a thing is possible, so
I would encourage people to do 

899
00:43:38,920 --> 00:43:40,880
that. 
Our electronic monitoring is 

900
00:43:40,880 --> 00:43:43,720
changing. 
There is more interesting in 

901
00:43:43,720 --> 00:43:49,440
using the data that GPS tracking
develops to do data analysis 

902
00:43:49,440 --> 00:43:53,160
that might lead you to enable a 
predictive approach to 

903
00:43:53,160 --> 00:43:56,400
reoffending. 
And it's no, it's no you saying 

904
00:43:56,400 --> 00:43:58,000
that that's not a good thing to 
do. 

905
00:43:58,320 --> 00:44:01,440
There are techniques for 
predictivity now that didn't 

906
00:44:01,440 --> 00:44:04,920
exist 10 or 15 years ago and 
that may become an important 

907
00:44:04,920 --> 00:44:07,160
part of it. 
And with higher risk offenders 

908
00:44:07,160 --> 00:44:11,400
who wouldn't want to know about 
the possibility of predicting 

909
00:44:11,600 --> 00:44:15,000
when re offending might occur. 
My sense is that electronic 

910
00:44:15,000 --> 00:44:18,120
monitoring, locational 
monitoring by itself does not 

911
00:44:18,120 --> 00:44:21,680
generate sufficient data to make
those kind of predictions. 

912
00:44:21,680 --> 00:44:25,000
But if you combine electronic 
monitoring data with other 

913
00:44:25,000 --> 00:44:29,600
sources of data about that 
person's life, you can probably 

914
00:44:29,920 --> 00:44:33,600
do predictions. 
So I was speaking to a Korean 

915
00:44:33,600 --> 00:44:38,320
researcher just recently who is 
in the process of working on an 

916
00:44:38,360 --> 00:44:41,640
AI prediction model for sex 
offenders. 

917
00:44:41,640 --> 00:44:46,560
And they are going to study 5000
offenders over five years with 

918
00:44:46,560 --> 00:44:49,640
200 variables attached to each 
individual. 

919
00:44:49,960 --> 00:44:53,280
And out of that, they hope to 
have a predictive model. 

920
00:44:53,280 --> 00:44:58,120
And I won't say that that is a 
bad way to go with if you were 

921
00:44:58,120 --> 00:45:01,480
doing it with all offenders, 
that would be so Ross resource 

922
00:45:01,480 --> 00:45:03,760
intensive. 
I would worry about the level of

923
00:45:03,760 --> 00:45:05,480
resource that was been committed
to it. 

924
00:45:05,800 --> 00:45:09,320
But for high risk sex offenders,
I can see the point of do of 

925
00:45:09,320 --> 00:45:12,080
doing that sort of thing. 
And the alcohol monitoring is 

926
00:45:12,080 --> 00:45:15,200
going reasonably successfully in
England and Wales at the moment.

927
00:45:15,200 --> 00:45:18,400
And there is much talk about 
having a monetary device which 

928
00:45:18,400 --> 00:45:21,440
would tell you when a person is 
using drugs that they have been 

929
00:45:21,560 --> 00:45:24,560
prescribed from using. 
Well, that's probably further 

930
00:45:24,560 --> 00:45:27,280
down the line than some of it's 
champions think it is. 

931
00:45:27,280 --> 00:45:29,600
But I don't think there's a 
probation officer anywhere who 

932
00:45:29,600 --> 00:45:33,360
wouldn't welcome that element, 
that contribution to the way 

933
00:45:33,360 --> 00:45:36,720
they manage offenders, who's 
offending is related to the drug

934
00:45:36,720 --> 00:45:38,840
use. 
So all of this, I think, is up 

935
00:45:38,840 --> 00:45:42,120
for grabs in our more 
technologically inclined age. 

936
00:45:42,240 --> 00:45:45,280
So advice for P quips is 
learning about the technology 

937
00:45:45,280 --> 00:45:48,440
that's available and using it to
help them develop their 

938
00:45:48,440 --> 00:45:51,480
professional judgements, their 
understanding of the people that

939
00:45:51,480 --> 00:45:54,040
they're working with, but using 
it wisely and well. 

940
00:45:54,040 --> 00:45:58,240
I like that term. 
So then Louis Technology, what 

941
00:45:58,240 --> 00:46:02,320
advice would you give for new 
training probation officers? 

942
00:46:02,440 --> 00:46:04,240
I think the first thing I'd say 
is if you've been newly 

943
00:46:04,240 --> 00:46:05,880
recruited in this space, 
congratulations. 

944
00:46:05,880 --> 00:46:07,760
It's an awesome like really 
important place. 

945
00:46:08,200 --> 00:46:10,680
Super not easy. 
Broadly speaking, I would I 

946
00:46:10,680 --> 00:46:13,720
would recommend people continue 
to prioritise the most human 

947
00:46:13,720 --> 00:46:15,520
parts of the role. 
How do you build loving care 

948
00:46:15,520 --> 00:46:17,760
relationships? 
How might you use things like 

949
00:46:17,920 --> 00:46:21,240
motivational interviewing? 
How might you have a trauma 

950
00:46:21,240 --> 00:46:24,000
informed practise? 
How do you observe and spot 

951
00:46:24,000 --> 00:46:26,320
particular factors that can form
your analysis? 

952
00:46:26,320 --> 00:46:30,040
Technology can amplify that 
craft, but it can't replace it. 

953
00:46:30,040 --> 00:46:33,840
So being ready to do the things 
that are most important anyway 

954
00:46:33,840 --> 00:46:36,360
records decisions clearly what 
you did and why. 

955
00:46:36,440 --> 00:46:39,320
Maybe in that context you want 
to record what tools you used. 

956
00:46:39,320 --> 00:46:41,520
Did you use an AI tool there? 
Maybe it's worth flagging it. 

957
00:46:41,680 --> 00:46:44,960
But equally, it's important to 
start being really good at 

958
00:46:44,960 --> 00:46:46,480
sharpening that analytical 
skills. 

959
00:46:46,560 --> 00:46:49,120
You're going to be able to find 
information more easily. 

960
00:46:49,200 --> 00:46:53,160
You're able to observe people in
the actual meetings and see a 

961
00:46:53,160 --> 00:46:55,800
bigger picture of how they 
communicate, so you'll need to 

962
00:46:55,800 --> 00:46:58,920
be able to extract what really 
matters from a large amount of 

963
00:46:58,920 --> 00:47:02,640
information, and sometimes AI 
can surface it, but your 

964
00:47:02,640 --> 00:47:05,280
judgement alone will be the 
thing that determines the things

965
00:47:05,400 --> 00:47:06,680
that are most important. 
OK. 

966
00:47:06,920 --> 00:47:10,320
So then within the training 
probation officer programme, a 

967
00:47:10,320 --> 00:47:13,280
really important element of it 
is reflection and reflective 

968
00:47:13,280 --> 00:47:16,480
practise, and it's a key part of
being a probation officer as 

969
00:47:16,480 --> 00:47:19,120
well as they move forward in a 
professional development. 

970
00:47:19,120 --> 00:47:22,320
So a question to both of you, 
how can reflection help 

971
00:47:22,320 --> 00:47:26,320
probation officers critically 
engage with tools like AI and 

972
00:47:26,320 --> 00:47:27,880
electronic monitoring? 
Mike. 

973
00:47:28,240 --> 00:47:32,440
I think that is important and I 
guess that I experienced with 

974
00:47:32,440 --> 00:47:35,240
electronic monitoring and 
reflective practise was that 

975
00:47:35,240 --> 00:47:38,960
there wasn't much reflection on 
it because it wasn't something 

976
00:47:38,960 --> 00:47:41,760
that probation officers have 
traditionally had to do. 

977
00:47:42,240 --> 00:47:45,960
But I remember meeting a team of
Canadian probation officers who 

978
00:47:45,960 --> 00:47:49,040
had been required to work with 
the police to develop a 

979
00:47:49,040 --> 00:47:52,160
programme for dealing with young
adult car thieves, right? 

980
00:47:52,200 --> 00:47:56,440
And they devised a plan and then
for political reasons they had 

981
00:47:56,440 --> 00:48:00,040
electronic monitoring, GPS 
tracking foisted upon them 

982
00:48:00,040 --> 00:48:03,400
against their will, right? 
But they found that it was 

983
00:48:03,400 --> 00:48:06,280
useful, but they had to work out
how it was useful. 

984
00:48:06,320 --> 00:48:10,040
And in their particular context,
they had a kind of free hand as 

985
00:48:10,040 --> 00:48:12,600
to how to do that. 
And that experience with that 

986
00:48:12,600 --> 00:48:15,400
team of Canadian probation 
officers has marked all my 

987
00:48:15,400 --> 00:48:20,160
understanding of how reflection 
on the possibilities here, even 

988
00:48:20,160 --> 00:48:22,520
when it's something you didn't 
initially want to do, can 

989
00:48:22,520 --> 00:48:25,480
actually give you some good 
results, right. 

990
00:48:25,480 --> 00:48:29,560
More broadly, I think that if we
are encouraging people to 

991
00:48:29,560 --> 00:48:34,120
reflect on ethics, well there's 
a whole field called the ethics 

992
00:48:34,120 --> 00:48:37,720
of punishment, which I hope is 
still taught to probation 

993
00:48:37,720 --> 00:48:40,720
trainees, as it was in the days 
when I was involved in it. 

994
00:48:41,000 --> 00:48:44,200
But alongside the ethics of 
punishment these days, because 

995
00:48:44,200 --> 00:48:48,080
technology is so ubiquitous, you
need part of your training 

996
00:48:48,080 --> 00:48:51,960
programme on reflective practise
to equip people with the ethics 

997
00:48:51,960 --> 00:48:53,840
of technology. 
And it's interesting that 

998
00:48:53,840 --> 00:48:56,720
proportionality, proportionality
of punishment and 

999
00:48:56,720 --> 00:49:00,920
proportionality of technology 
proportionality is a concept 

1000
00:49:00,920 --> 00:49:03,400
that comes up in both of those 
fields, right? 

1001
00:49:03,520 --> 00:49:07,440
And I think that because we are 
all immersed in our hyper 

1002
00:49:07,440 --> 00:49:11,120
connected world these days and 
we have very little time to 

1003
00:49:11,120 --> 00:49:14,840
think about the ethics of that 
in general, although it does 

1004
00:49:14,840 --> 00:49:16,960
happen. 
You know, think about the debate

1005
00:49:16,960 --> 00:49:19,280
we're having about smartphones 
and school children. 

1006
00:49:19,320 --> 00:49:23,040
So doing reflection on the the 
way we use technology, 

1007
00:49:23,040 --> 00:49:26,320
specifically in probation would 
seem to me to be have become a 

1008
00:49:26,320 --> 00:49:29,960
very necessary part of the way 
we train probation officers. 

1009
00:49:30,280 --> 00:49:33,880
Thoughts from you, Louis? 
So in regards to helping, 

1010
00:49:33,880 --> 00:49:37,960
consider what reflection can do 
to help with engaging with AI 

1011
00:49:38,280 --> 00:49:40,160
and the likes. 
Keeping it simple is key. 

1012
00:49:40,200 --> 00:49:43,960
What has this AI tool produced? 
What would you find most useful?

1013
00:49:44,000 --> 00:49:46,560
What do you want to accept, 
modify, and reject and why? 

1014
00:49:46,640 --> 00:49:49,200
You might find you've used AI 
technology to service 

1015
00:49:49,200 --> 00:49:51,880
information, but you've noticed 
it's surfaced information that 

1016
00:49:51,880 --> 00:49:54,880
might have been 20 years out of 
date and this person has changed

1017
00:49:54,880 --> 00:49:56,320
since then. 
So use your professional 

1018
00:49:56,320 --> 00:49:58,280
judgement. 
You might observe, for example, 

1019
00:49:58,280 --> 00:50:01,920
this personal probation had 
these certain situations occur 

1020
00:50:01,960 --> 00:50:03,640
and these were the behaviours 
observed. 

1021
00:50:03,920 --> 00:50:05,200
But I was in a different 
context. 

1022
00:50:05,240 --> 00:50:07,640
That was maybe when they didn't 
live with their family, they 

1023
00:50:07,640 --> 00:50:09,320
lived alone. 
It's in a different city. 

1024
00:50:09,360 --> 00:50:13,000
So use information that you 
find, but be ready to ground in 

1025
00:50:13,000 --> 00:50:15,360
the truth of today. 
That can mean as well. 

1026
00:50:15,440 --> 00:50:18,480
You know, this is something 
that's there's an assistant, but

1027
00:50:19,120 --> 00:50:23,560
you're the person as a person to
see the bigger picture, to know 

1028
00:50:23,560 --> 00:50:25,120
what's really most important 
right now. 

1029
00:50:25,560 --> 00:50:27,960
And you might have further 
information up here in your mind

1030
00:50:28,520 --> 00:50:30,560
that would definitely change the
decision. 

1031
00:50:30,560 --> 00:50:33,320
The information analysis and AI 
isn't perfect. 

1032
00:50:33,400 --> 00:50:36,840
There will be times when it's 
not going to accurately do a 

1033
00:50:36,840 --> 00:50:38,640
thing. 
For example, with transcription 

1034
00:50:38,640 --> 00:50:40,920
summarization, need to bear in 
mind that it won't be perfect 

1035
00:50:40,920 --> 00:50:42,960
for things like names of people,
places. 

1036
00:50:42,960 --> 00:50:45,680
So we've got to be very mindful 
that things like transcription 

1037
00:50:45,680 --> 00:50:47,920
summarization, it only hears 
what's been said in the room, 

1038
00:50:48,040 --> 00:50:50,280
doesn't see the person, it 
doesn't know the bigger picture.

1039
00:50:50,360 --> 00:50:53,280
And that's just an example of 
many where with the person using

1040
00:50:53,280 --> 00:50:55,240
it, the human is the one of 
meaningful control. 

1041
00:50:55,240 --> 00:50:57,920
They need to be ready to say 
it's not going to be perfect all

1042
00:50:57,920 --> 00:50:59,200
the time. 
And for them, it's something to 

1043
00:50:59,200 --> 00:51:01,000
assist. 
They can extract the things that

1044
00:51:01,000 --> 00:51:03,520
most useful, move things that 
aren't useful, whatever suits 

1045
00:51:03,520 --> 00:51:05,520
them best. 
So yeah, identify what's been 

1046
00:51:05,680 --> 00:51:06,880
produced, what you would use and
why. 

1047
00:51:07,000 --> 00:51:09,600
Make sure you're ready to change
the output to be analytical and 

1048
00:51:09,600 --> 00:51:11,400
recognise that it will have 
limitations. 

1049
00:51:11,560 --> 00:51:13,080
Thank you, Lou. 
Yeah, that's really helpful. 

1050
00:51:13,080 --> 00:51:16,280
And Kyle actually earlier point 
about ongoing training, but also

1051
00:51:17,040 --> 00:51:21,040
the pilot study that you talked 
about, whereas it's not AI tool 

1052
00:51:21,040 --> 00:51:24,120
that just says yes, that's a 
good idea like ChatGPT does that

1053
00:51:24,200 --> 00:51:26,880
encourages more thought 
provoking and questioning the 

1054
00:51:26,880 --> 00:51:28,720
data. 
So that's helpful. 

1055
00:51:28,720 --> 00:51:30,760
Thank you. 
This is the point in the podcast

1056
00:51:30,760 --> 00:51:34,400
where we give you a magic wand 
and say if you could implement 

1057
00:51:34,400 --> 00:51:38,440
one big change in how technology
is used or developed in 

1058
00:51:38,440 --> 00:51:41,520
probation, what would it be? 
Louie, do you want to go first? 

1059
00:51:41,520 --> 00:51:41,840
Sure. 
So. 

1060
00:51:42,960 --> 00:51:44,960
I think the most important thing
for me is about how it's 

1061
00:51:44,960 --> 00:51:46,800
developed. 
I think for all teams doing 

1062
00:51:46,800 --> 00:51:49,360
anything of technology, you've 
got to fall in love with the 

1063
00:51:49,360 --> 00:51:52,000
problem you're trying to solve 
and obsess about it, build with 

1064
00:51:52,000 --> 00:51:55,120
the people who have the problem.
If I didn't spend half my time 

1065
00:51:55,200 --> 00:51:58,200
working alongside probation 
officers, then how do I truly 

1066
00:51:58,200 --> 00:52:01,480
know that what I'm building is 
truly a useful, winning product?

1067
00:52:01,600 --> 00:52:06,200
So for us, it's really key that 
we work with people like me who 

1068
00:52:06,200 --> 00:52:10,000
share that vision to learn fast 
in a Safeway, to learn directly 

1069
00:52:10,000 --> 00:52:12,320
from the frontline probation 
officer have been super candid 

1070
00:52:12,320 --> 00:52:14,240
about what works but doesn't, 
and that opens to try new 

1071
00:52:14,240 --> 00:52:15,800
things. 
But whenever we develop a 

1072
00:52:15,800 --> 00:52:18,160
solution, even beyond 
technology, make sure we fall in

1073
00:52:18,160 --> 00:52:21,280
love with the promise of and 
build something that people want

1074
00:52:21,280 --> 00:52:22,840
in the 1st. 
Place, Yeah, Thank you, Leo. 

1075
00:52:22,840 --> 00:52:24,720
And I think it is really 
encouraging to hear that you're 

1076
00:52:24,720 --> 00:52:28,480
going into probation officers, 
working with frontline staff and

1077
00:52:28,480 --> 00:52:32,320
finding out really about the job
and what might be helpful in the

1078
00:52:32,320 --> 00:52:33,640
future and their role. 
Thank you. 

1079
00:52:34,000 --> 00:52:37,240
How about you, Mike? 
So if I had a magic wand, the 

1080
00:52:37,240 --> 00:52:40,400
one thing that I would push for 
at the present moment in time, 

1081
00:52:40,440 --> 00:52:44,040
as I've said earlier on, is to 
incorporate electronic 

1082
00:52:44,040 --> 00:52:48,120
monitoring into the statutory 
probation service and treat the 

1083
00:52:48,120 --> 00:52:51,400
probation service as a 
potentially technologically 

1084
00:52:51,600 --> 00:52:56,080
sophisticated organisation which
can use technologies wisely and 

1085
00:52:56,080 --> 00:52:59,840
well with all the safeguards and
constraints that Louis has 

1086
00:52:59,840 --> 00:53:01,720
talked about. 
And that would be such a sea 

1087
00:53:01,720 --> 00:53:05,400
change for the England and Wales
Probation Service, given that 

1088
00:53:05,760 --> 00:53:07,600
it's commonplace nearly 
everywhere else. 

1089
00:53:07,920 --> 00:53:11,800
But that would seem to me to be 
a good base on which you could 

1090
00:53:11,800 --> 00:53:15,480
then think about incorporating 
other technologies into 

1091
00:53:15,480 --> 00:53:19,400
probation practise as well. 
And if my magic wand can just be

1092
00:53:19,400 --> 00:53:22,720
spun once again, it is learned 
from the mistakes of 

1093
00:53:22,720 --> 00:53:25,560
implementing electronic 
monitoring in the way we've done

1094
00:53:25,560 --> 00:53:28,600
it up to now, and make sure we 
don't make the same mistakes 

1095
00:53:28,600 --> 00:53:32,560
with the much more complicated 
and sophisticated technology 

1096
00:53:32,880 --> 00:53:35,160
that is embodied in. 
Thank you, Mike. 

1097
00:53:35,240 --> 00:53:39,440
And linked to that, really, do 
you have any articles or a book 

1098
00:53:39,440 --> 00:53:42,960
or any resource that you would 
recommend our P quip learners 

1099
00:53:43,000 --> 00:53:46,840
read or anyone interested in the
probation service, what one or 

1100
00:53:46,840 --> 00:53:48,480
two key articles would you 
recommend? 

1101
00:53:48,720 --> 00:53:52,800
Well, there's lots of articles 
about electronic monitoring and 

1102
00:53:52,800 --> 00:53:54,720
the way it can be used well in 
probation. 

1103
00:53:54,720 --> 00:53:56,920
I mean, some of those I've 
written myself, but lots of 

1104
00:53:56,920 --> 00:53:58,600
people have written those 
things. 

1105
00:53:58,920 --> 00:54:02,280
But to help and to encourage 
probation officers to think more

1106
00:54:02,280 --> 00:54:06,040
generally about the the changing
world in which we all live in 

1107
00:54:06,040 --> 00:54:08,120
the way that this might impact 
on probation. 

1108
00:54:08,600 --> 00:54:13,440
The book that I have found most 
useful as a layperson is by a 

1109
00:54:13,440 --> 00:54:17,560
barrister called Susie Allegre, 
and it's called Human Rights and

1110
00:54:17,560 --> 00:54:21,080
Robot Wrongs, Being Human in the
Age of AI. 

1111
00:54:21,080 --> 00:54:24,880
And that addresses very directly
the question of overselling AI 

1112
00:54:24,880 --> 00:54:27,800
proportionality in AI. 
You know, what does it mean to 

1113
00:54:27,800 --> 00:54:32,520
preserve human skills and values
in a context where technology 

1114
00:54:32,520 --> 00:54:35,240
can be presented as as such an 
easy solution? 

1115
00:54:35,320 --> 00:54:36,160
Right. 
Thank you, Mike. 

1116
00:54:36,160 --> 00:54:39,400
That sounds really interesting. 
And Louis, any recommendations 

1117
00:54:39,400 --> 00:54:41,200
from? 
You as a recommendation for 

1118
00:54:41,200 --> 00:54:47,120
those who are decrypt, if you do
a simple Google AI action plan 

1119
00:54:47,120 --> 00:54:49,960
for justice, I would, you know, 
recommend maybe we can hold 

1120
00:54:49,960 --> 00:54:52,880
plan, but you've also got a 
publicly available website and 

1121
00:54:52,880 --> 00:54:56,240
it talks to the plan in a more 
visual way and it also showcases

1122
00:54:56,240 --> 00:54:58,560
the stuff that's actually 
happening in the in realities. 

1123
00:54:58,600 --> 00:55:01,600
So I'll say get started there. 
It gives you a sense of what we 

1124
00:55:01,600 --> 00:55:04,760
are looking to support and 
progress in the context of their

1125
00:55:04,760 --> 00:55:05,920
working lives. 
Thank you. 

1126
00:55:05,920 --> 00:55:10,360
We'll also make sure both the 
book and that web link is 

1127
00:55:10,360 --> 00:55:13,200
included in our show notes. 
Thank you very much to both of 

1128
00:55:13,200 --> 00:55:16,280
you for those recommendations. 
So we've, we've come to the end 

1129
00:55:16,280 --> 00:55:17,760
of the podcast. 
We've had some really 

1130
00:55:17,760 --> 00:55:19,840
interesting discussions. 
Thank you for everything that 

1131
00:55:19,840 --> 00:55:21,800
you've shared. 
But is there anything important 

1132
00:55:21,840 --> 00:55:24,400
that you came here to say that 
you haven't had a chance to say 

1133
00:55:24,400 --> 00:55:27,160
yet? 
We haven't addressed the buzz 

1134
00:55:27,160 --> 00:55:30,640
phrase human in the loop, which 
is very beloved of the Council 

1135
00:55:30,640 --> 00:55:32,760
of Europe and not just the 
Council of Europe. 

1136
00:55:33,120 --> 00:55:35,880
The human in the loop is 
supposed to be the person who 

1137
00:55:36,160 --> 00:55:41,240
makes sure that any knowledge 
that is generated by AI in terms

1138
00:55:41,240 --> 00:55:44,520
of risk assessments or whatever,
there is always a human 

1139
00:55:44,520 --> 00:55:46,920
assessment of its value and 
viability. 

1140
00:55:47,080 --> 00:55:50,360
And that seems like a good idea.
That's a major feature of all 

1141
00:55:50,360 --> 00:55:52,440
the Council of Europe approaches
to it. 

1142
00:55:52,440 --> 00:55:55,760
But I'm interested in who the 
human in the loop would be in a 

1143
00:55:55,760 --> 00:55:59,120
future probation service. 
Because to manage this 

1144
00:55:59,120 --> 00:56:02,960
technology, you need to know a 
lot about this technology. 

1145
00:56:02,960 --> 00:56:05,560
And I'm not sure that there 
seems to me to be a tension 

1146
00:56:05,560 --> 00:56:08,400
between the kind of experience 
and knowledge that you would 

1147
00:56:08,400 --> 00:56:12,480
want the human in the loop to 
bring in a probation context and

1148
00:56:12,480 --> 00:56:15,840
the kind of person who really 
understands how the technology 

1149
00:56:15,840 --> 00:56:17,800
is working. 
Who is the human in the loop? 

1150
00:56:18,200 --> 00:56:21,040
That's a good question, I think.
It's a good, good question to 

1151
00:56:21,040 --> 00:56:24,320
almost end on. 
So really important point if you

1152
00:56:24,320 --> 00:56:27,200
want to speak to that, Louis or 
if there's anything else that 

1153
00:56:27,200 --> 00:56:29,240
you came here to say that we 
haven't managed to say. 

1154
00:56:29,440 --> 00:56:32,280
Yeah, sweet. 
So 2 points in the Justice AI 

1155
00:56:32,280 --> 00:56:35,480
unit, we've started going beyond
the language of human and loop. 

1156
00:56:35,560 --> 00:56:38,160
It came across a bit like 
implying there's automation and 

1157
00:56:38,160 --> 00:56:41,360
you have visibility of it. 
But we start using language 

1158
00:56:41,360 --> 00:56:43,240
which you would hopefully have 
heard me say a lot in the 

1159
00:56:43,240 --> 00:56:45,280
discussion today, is meaningful 
human control. 

1160
00:56:45,480 --> 00:56:48,120
Like we don't want people to 
simply have in loop. 

1161
00:56:48,200 --> 00:56:50,120
We don't want people to simply 
be able to observe. 

1162
00:56:50,160 --> 00:56:52,400
It's more like, wow, I'm in a 
driving seat here. 

1163
00:56:52,520 --> 00:56:55,720
I'm choosing more AI tools or 
whatever M tech tools to use and

1164
00:56:55,720 --> 00:56:57,400
what context and how to use 
invest. 

1165
00:56:57,440 --> 00:56:59,920
It isn't easy to simply pick up 
a load of tools and know how to 

1166
00:56:59,920 --> 00:57:01,640
use it like that. 
It's something that needs to be 

1167
00:57:01,640 --> 00:57:03,800
baked in as part of that 
product, as part of that 

1168
00:57:03,800 --> 00:57:05,680
experience to sign up in the 1st
place. 

1169
00:57:05,760 --> 00:57:07,480
So yeah, that's a fair thing to 
flag. 

1170
00:57:07,920 --> 00:57:09,760
And we will hear a lot of people
say human loop. 

1171
00:57:09,760 --> 00:57:11,800
And my challenge then was we 
actually want to give them 

1172
00:57:11,880 --> 00:57:14,560
something bigger, older, 
meaningful human control on my 

1173
00:57:14,560 --> 00:57:15,960
mind. 
Secondly, the only thing that 

1174
00:57:15,960 --> 00:57:19,320
wants to flag again was just 
like a massive thanks to all of 

1175
00:57:19,320 --> 00:57:22,960
the awesome probation officers, 
P Crips, PSOSSPOS that I've 

1176
00:57:22,960 --> 00:57:26,200
worked with in Wales, Kent. 
So in Sussex, so far it's been 

1177
00:57:26,200 --> 00:57:27,800
awesome. 
Keep them open minded, they're 

1178
00:57:27,800 --> 00:57:30,240
willing to try something new and
give us their honest feedback. 

1179
00:57:30,320 --> 00:57:32,760
So I'm really grateful for that.
The last thing that I'll leave 

1180
00:57:32,760 --> 00:57:36,640
with is to say at the Justice AI
units, we're still quite young 

1181
00:57:36,680 --> 00:57:39,280
and we are recruiting. 
So if anyone's listening and 

1182
00:57:39,280 --> 00:57:42,720
they're super interested to get 
involved, be it as an engineer 

1183
00:57:42,880 --> 00:57:46,120
or a product person, an adoption
person, get in touch. 

1184
00:57:46,360 --> 00:57:47,680
They'll be super interested to 
hear from. 

1185
00:57:47,760 --> 00:57:48,640
You. 
Thank you, Louie. 

1186
00:57:48,640 --> 00:57:50,440
Thank you, Mike. 
It's been really great having 

1187
00:57:50,440 --> 00:57:52,880
you on the podcast and really 
interesting for Addison. 

1188
00:57:53,200 --> 00:57:54,640
Thank you. 
It's been great. 

1189
00:57:57,320 --> 00:57:59,920
Thanks for listening to 
Probation Perspectives Insights 

1190
00:57:59,920 --> 00:58:02,840
into Community justice. 
We hope our conversation with 

1191
00:58:02,840 --> 00:58:06,560
Professor Mike Nellis and Louis 
All Good sparked new thinking 

1192
00:58:06,560 --> 00:58:09,040
around the role of technology 
and probation practise. 

1193
00:58:09,760 --> 00:58:12,880
From the history of electronic 
monitoring to the emerging use 

1194
00:58:12,880 --> 00:58:16,560
of AI, we trust this episode 
offered insights into both the 

1195
00:58:16,560 --> 00:58:19,920
opportunities and the challenges
that come with tech driven 

1196
00:58:19,920 --> 00:58:22,200
justice. 
If you found this episode 

1197
00:58:22,200 --> 00:58:25,080
valuable, please subscribe, 
leave a review and share it with

1198
00:58:25,080 --> 00:58:27,520
colleagues or whoever you think 
would benefit. 

1199
00:58:27,840 --> 00:58:30,360
And do let us know your thoughts
or who you'd like to hear from 

1200
00:58:30,360 --> 00:58:32,800
next. 
A big thank you to Mike and 

1201
00:58:32,800 --> 00:58:35,680
Louis for sharing their 
expertise and to the team behind

1202
00:58:35,680 --> 00:58:37,280
Probation Perspectives for 
making. 

1203
00:58:37,280 --> 00:58:40,160
This podcast possible. 
We'll be back soon with more 

1204
00:58:40,160 --> 00:58:43,040
conversations that shine a light
on the practise, purpose and 

1205
00:58:43,040 --> 00:58:45,360
people behind probation and 
community justice. 

1206
00:58:45,600 --> 00:58:47,360
Until next time, take care.
