
·S4 E349
Rewriting the rules of criminal investigations: Graeme Simpfendorfer Pt.2
Episode Transcript
The public has had a long held fascination with detectives.
Detective see aside of life the average person is never exposed to.
I spent thirty four years as a cop.
For twenty five of those years I was catching killers.
That's what I did for a living.
I was a homicide detective.
I'm no longer just interviewing bad guys.
Instead, I'm taking the public into the world in which I operated.
The guests I talk to each week have amazing stories from all sides of the law.
The interviews are raw and honest, just like the people I talk to.
Some of the content and language might be confronting.
That's because no one who comes into contact with crime is left unchanged.
Join me now as I take you into this world.
In part two of my chat, we've retired Detective Graham Simfendorfer.
We dive further into the world of AI and how it's going to change the world of crime.
It's quite mind blowing where we're headed.
My sense is, if pleasing in investigations, the life of a criminal is going to get a lot tougher.
But maybe I'm looking at things simplistically, because no doubt the crooks are also going to embrace AI as well.
That may counterbalance the advantages law enforcement have.
We also had a close look at how AI may help solve cold cases and how it could be used in the court system.
It's a really interesting chat that I learned a lot from Graham.
Welcome back to part two of Eye Catch Killers.
I'm scared AI is taking over the world.
Yeah, I want to jump straight into cold cases because homicide was my passion in my career, and I know you worked homicide and people are just fascinated with cold cases and the thing with homicide until they're solved.
It doesn't matter if they're fifty years old.
People want results when someone's life has been taken.
How can we use AI in the cold case space?
Speaker 2Yeah, great question, and some significant pieces can play a really important part in this.
So there's the aspect of reviewing all the old information, laying a lens across what we know, open source around that information as well.
So it's large data sets of information that, like you said, to get your head around a cold case, you literally sit with a box for a month.
Speaker 3Or so trying to understand it all.
Speaker 2If you can put all that data into AI, it'll pull out for you what the key issues are where the gaps are perhaps some avenues of inquiry.
Even so, again, like we said before, you don't want to lose the skills as an investigator, but it can process that large set of information really quickly and accurately with what's been given in those statements and may even be able to say, hey, look we need to go back further because we've seen with cold case is the way statements were taken ten years ago, twenty years ago, very almost almost leading, if you will, because you're trying to cover your points of proof and not that whole story that you get.
So one of those aspects is going back if you can to speak to some of those witnesses and the AI can, So let's go back and explore this part a bit more, or the person that witnessed that vehicle drive pilet's go back and see that.
There's that aspect of understanding the investigation and I guess the investigation plan.
But then there's also review of either CCTV or face images, and that's where the facial recognition technology could come in and play a part.
Speaker 1Right, So the cold cases, okay, and when you said you know, the AI might say, have you thought of this or line of inquiry, not taking that personal as an investigator, because what you're dealing with AI, they're drawing on the experience of all the in theory at its best, all the world's greatest investigators looking at this case, all the information that they've learned from past things.
Because this am I describing it correctly.
Basically, they're drawing on all the information.
Speaker 3That's right.
Speaker 2You're taking every into account and thinking outside the box if it needs to, and that's the skills of great investigator processing that, and you can teach it to think about the laws of evidence and making sure that whatever strategy or tactic that it's thinking of is complying with the law and complying with the rules of evidence.
So it'll do all that for you.
But yeah, you're right, it's taking the best of everything and applying it to your case.
So for cold cases, it's worth a review.
It's worth looking at a ability to either you know, fix fix some footage or make the CCTV less grainy, or looking at a face image that was previously no one knew who this was or couldn't be solved.
And that's where this journey for me kicked off.
Actually was looking at.
A friend of mine showed me a documentary series that I think was on Netflix about the there was nineteen seventy nine Lunar Park fire.
Speaker 3Oh yeah, I remember that.
Speaker 1There seven people died in the on the Gates train.
Speaker 3Is that one?
Speaker 2And I watched it.
Got a degree in fire investigation, So the scientific brain of me was very intrigued by by that aspect.
But then as the documentary went on, it was Caro Meldrem Hannah that did that documentary, an amazing documentary by the way, And towards the end, there's this face image of who they believed lit the fire, and there was allegations of being linked to by keys all the like, but there was this face image, and I just could not understand how in this day and age we don't have technology that could turn that face image from just the sketch image that we're used to seeing into a actual person and then use the data sets and AI two search for that person through whether criminal networks or you know, there's some ethical considerations around searching against open source, but how can we not have that?
And my rest that sent me on the journey of researching who surely someone could be doing this and my investigations globally is no one.
Speaker 3No one is.
Speaker 2So we started that journey with program AI around turning a cold case composite sketch image of the old hand drawn ones, using AI to turn that into a three D verse of a person, and then you've got a much better identity of who that person could be searching against either open source or criminal databases for an identity, and you need to potentially age that person.
Obviously, if you're talking about a cold case now we've all seen it on your Instagram reels, is what are you going to look like when you're seventy The AI will aid you, and it can aid you, but again it's only as good as what's put into it.
So you're relying on the witnesses version of what they remembered, and we all know we would see you know, this is a seventy percent likeness or this is an eighty percent likeness.
There I can turn that seventy percent likeness into something and use it as a tool to search the sources, but it's still the investigator's job to actually is that the person or not?
Speaker 1Okay, And so there's a responsibility of the type of information you put in And you've said with creating that or the image and whether you put it into open source when you're talking open source, you put in out there on social media everywhere.
Speaker 3Yeah, that's right.
Speaker 2Yeah, so open sources, open source intelligences is the web.
Yeah, Instagram, Facebook.
Speaker 1So Google put put out there anyone.
Speaker 2Yeah, And there symmetical considerations because you know, when you upload your photo to Facebook, you're not really giving permission for that to be used or scraped is the term.
You're not you're not giving anyone authorized to scrape all that.
So symmetical considerations that we looked at.
But that's the stuff we need.
Speaker 3To work through.
Speaker 2If we're looking for a murderer or a rapist, are the laws going to be sufficient to help support law enforcement to identify that person?
Speaker 1Well, it should be like we've had to as technology evolves and the powers need you need the authority and it might be for listening devices from the Supreme Court, that type of thing to get permissioned on the ghost train one, did that evolve into anything that what you're looking at.
Speaker 2Still a work in progress.
So we're still using that as a test case too.
It's a great test case actually, to turn that image into a person, but also age that person and what they might look like years ago.
Because seventy nine there was no Facebook.
You need to aid that person to see if that person is actually out there, either on a license photo or a passport photo.
So law enforcement has access to all that already.
So that's where we're at, and we're just trying to train that so to train the AI to do it.
I've had some friends sketch myself and then running across open source, and it's showing some really positive results.
Speaker 1We've got positive in terms of the way you're aging.
Speaker 2That's right, not like a fine wine though positive In yeah, it's around ninety six to nine.
Anything over ninety six ninety seven percent is showing as accurate okays speak.
Speaker 1If we break it down in percentages, that's a good percentage to work with, good.
Speaker 3Tool, isn't it.
Speaker 2So to either rule that person in or rout, you might get a hit on this likeness is like this person, but then your investigation says, actually that can't be that person.
That person left the country two weeks before the offense.
Speaker 3Okay.
Speaker 1Another thing that comes in so with AI, like we used to get when I first started place.
Are the big penries.
You know, someone during the sketch, this is what Graham looks like on that, And there was some good and there was Subjectivity came into it when people are doing the sketches.
But AI, when it's doing, they're dragging all that information, isn't it.
Where there's been failings, where there's been successes.
That's the type of access to the material we're having.
Speaker 2And that's how you want it to learn.
So you don't want it with a bias towards a certain culture or a certain a certain inference.
I guess you want it to be accurate to what it is you're looking for.
So your sketch that's only seventy percent accurate of the person is only going to get seventy percent accuracy on what you're searching for using the AI.
So you've still it to use investigative brain to think about who it is, et cetera.
But it'll do it so quickly, and I'll search your license or your your prison photos that are taken time and time again, I'll do it in seconds.
Speaker 1This is hypothetical, and it's hypothetical, and it's talking about actual investigations, but it's just got my mind ticking over the barrable.
I call it cyril killing of three Aboriginal children, Colin Walker, Evelyn green Up and Clinton Speedy back in nineteen ninety one, over a five month period, they disappeared and their bodies were found.
That case has been worked on for over thirty years.
I became involved in the investigation, I think five or six years after the children disappeared, for a reinvestigation, and we revisited like you do on a cold case, revisited, and the big argument initially was were these matters linked?
And we went through tendency and coincidence evidence and strongly show that the likelihood they have been linked.
I'm just thinking of what you're talking about.
With all that and my memory, there's probably about the lever arch folders sometimes I presented to the courts, because it's been through courts time and time again.
It might be fifteen twenty lever arch folders information.
And there was an analyst that worked on the case, Bianchor, and myself and another detective Jerry Bowden and Jason Evers, and we were walking.
We were the walking talking knowledge of that investigation only because we had to do an old school and read the documents and everything, so we retain and we summarize the information, We analyze the information, and Bianca did some extraordinary work as the analyst.
But with Ai Fai looked at that there's a very real possibility they could pick up something despite our best efforts that we might have missed.
Would that be fair the.
Speaker 3Same, Yeah, definitely fair.
Speaker 2It may pick up an avenue of inquiry that or a link that you didn't quite put together, or it might question a link.
Speaker 1Yeah.
Speaker 2It could work in the opposite too, can't it.
So it's a search for the truth.
We all know that around investigations.
It could actually do both, could find a new avenue of acquiry or so actually you went down the wrong path on that one.
Let's go back to that intersection where you went down there and provide you with some insight.
But it'll process all of those lever arch folders rapidly and so thoroughly that it could map it out.
Speaker 1And there were legal issues and legislation was changed for that case, and there was high court decisions and all those things could be broken down into it.
And like we had some of the four and agains, but some of the best legal minds in the country working on it.
But AI might even take it to the next level.
Speaker 3It can if it looked at it.
Speaker 2That's right, and it can, and I think there's a there's a place for it.
Again, coming back to it's got to be the appetite I guess of the agencies around the country to want to lean into that and explore it, because without their assistance, without their access to these files or these data sets, you can't train the model.
But again, the first point's got to be safe, secure and for the right purpose.
And that's why you know, we're looking at partnering with the right investors for this country.
Not people just want to make profit.
It is about solving crime and just just even if it solves one cold case, how good is that for the.
Speaker 1Fairt Well, you know that you've been there, you've seen that the pain that if anyone's case hasn't been solved, or someone's missing and there's no answers.
I also think and I talk William Tyrell case, and that's the case.
It's very close to me and I'm heavily involved in it, and I think of all the information, we were just overwhelmed with information because it was a high profile and when I was running it for the four years that there was so much information that could have gone through and I could see something like I'd like AI to look through it and has anything been missed?
And it's been running now for six years, and I think I'm as confused as the rest of the public what's happening on the investigation.
But it'd be interesting for.
Speaker 2AI and it could in another positive there in that case, In that scenario, and without knowing it to be anywhere near the little that you have lived, it could take some of the conscious or unconscious bias, yes, out of the situation and deal with the facts and case law and evidence processes, procedures and just apply.
Speaker 1That's interesting that you say, like the biases, because that's been part of the conflict in that investigation people, so it didn't get on board with what I was looking at and vice versa.
That would be good.
I would love an objective opinion on it.
I'm calling for a public inquiry on the teral investigation or the judicial inquiry, some form of independent review of what's been done on that case.
Yeah, maybe we call for an AI.
Speaker 2Inquiry, maybe the cysts and another tool to assist and that investigation again removing any of those biases and going right back to the facts and the information at the time that was given, and it can unpack it all as incredible.
Speaker 1Is AI capable of removing the biases?
If how here's the brief of evidence, give an objective opinion.
I'm thinking, what would I be typing in the GPT if I had access to all the evidence that was gathered from the wim terial investigation.
Could you please review this investigation and give an unbiased opinion or an objective opinion on the.
Speaker 2Me in accordance with the rules of evidence, facts of law, and you could even look at it from that criminal point of view.
But you then put that lens of as an investigator, where are the avenues of inquiry that we may have missed or where are some choke points here that we can go back and revisit, et cetera.
So yeah, and it's about training it.
But you've got to have access to some of these older, probably less intense, cold cases to train your model to think as an investigator.
Speaker 1I would like to do it.
And I'm mainly referring to those two investigations because I'm very familiar with them.
But I'd like to put all the information from both those investigations, put it into AI and identify.
The question would be identify the person most likely to have committed these offenses.
That'd be interesting.
Speaker 2What would exercise?
Yeah, yeah, and one hundred percent it would be And it can do it.
It just got to be able to you know, as I said at the start, it does cost a lot of money to build them things.
But the money is there in how has it cost to solve a murder?
Speaker 1Well, I look at there's always it's always a contentious environment the cold case units in any state, and I see it in all states because you've got family members that are pushing for we want everything done to have this case solved, and you've got police saying, well we've looked at this, and yeah, there's pushback.
There's always you're not going to satisfy everyone.
Like if one case is unsolved, there's going to be a family that's unhappy.
That's the nature of it.
But yeah, it just gets me thinking.
Quite often the cold case units are restructured, renamed, and we're going to do this and going to do that.
But wouldn't it be interesting if they said, Okay, we're going to get put all these cold cases through AI and see if anything's been missed, because invariably they bring a fresh team of investigators and you know the old saying, the fresh set of eyes.
Sometimes it works, but we're all detectives, we're all probably trained in the same line.
The thinking it would be good having that pendance of AI looking through the briefs.
Speaker 2Couldn't a more I think that's having the appetite and the courage to go down that path because it obviously potentially will create more work for the police.
Speaker 3But you start to trade.
Speaker 2Off the benefits of using AI and the administrative aspect we discussed earlier.
You're freeing up some more time to potentially revisit here, but it's a case by case.
Traditionally the cold cases are brought up because there's a new piece of information.
Well, this is a new tool that may be able to assist, and I'm all for it, and there are you know you mentioned chat CHAIRBT, but I'll give them a plug the main code.
Speaker 3Guys.
Speaker 2They've built Matilda, the Australian version that's going to compete with chat CHAIRBT because it's going to be built on our bias.
Australian culture, Australian knowledge and using the data sets to build that that are from here, okay, and we have access to and everyone has ability to input to that, not using a UK or an American or an agent.
Speaker 1So it's based on our environment or relable to it.
So it's what's that.
Speaker 2Called Matilda Matilda the guys main Code Dave and his team there have built Matilda.
They launched it recently.
So it's exciting Fustralia and we could be global leaders in this space of AI.
We don't need to rely on what's being done elsewhere.
Speaker 1Well, it's something that I think we need to embrace.
And as I said, I'm not the first to adopt technology, but I'm starting to look and think you're going to get left behind if we don't look at this.
But breaking down what we just talked about, my mind's spinning in terms of what could be done with cold cases, and quite often it's just that small piece, that missing piece of information that with all the good intent of all the investigators working on it tirelessly, that is missed.
Speaker 2Yeah, exactly that.
What's that old game was mind Sweeper?
Yeah, we just click on that one little square that opens up open all up.
So I think that's part of As long as we're adhering to and working with the partners in the real moral, ethical sense, adhering to the principles that they want, it can be built.
But we're just going to get the right investors with the right purpose and integrity that we think we share to come with us on that journey to build it for the investigators and so will solve the heat.
Speaker 1And we keep coming back to that the integrity and the ethics of it that's crucial to it, isn't it because it can could go off track very quickly if it's not used properly.
Speaker 2Yeah, And as you said, you know, you get one wrong because for whatever reason it may be, well, the whole thing comes crashing down.
Speaker 1AI in the courts that we had a magistrate on a few weeks ago on by catch killers and we're talking about AI in the court system, and he made the comment that say sentencing of drink driving charges pc I prescribe concentration of alcohol for sentencing, you could access what were the sentences on everyone that's been sentenced for that defense and then make your determination on what sentence you should give, whether it's a suspension, of license and that type of thing.
I think it's going to have to change the face of courts.
Speaker 2Yeah, I agree, I think it's I have to.
You know, if they're not thinking about it, they should be, but I'm sure they are, and you know, very smart minds in there.
And what a way to be able to draw all that information from such a massive amount of history or data for the judges to have at their fingertips or barristers to have to suggest to judges around sentencing parameters.
Makes everything more efficient, more effective and actually comparable.
And that's what the whole point is, if we could have that with an URL judiciary or the.
Speaker 1I suppose the argument is that you've got to hang on to the human side of it, the human part of it.
But in my limited experience playing with AI, it comes back with some very emotional awareness that quite surprises me.
Like if it's things I'm thinking, I didn't expect a computer to spit that back at me.
So, yeah, you feel all that into court.
I don't know what the role of a solicitor.
I know, if I was charged, and I hope not to be charged again, I'm just put that record, But if I charged again, like I worked on my defense and worked with my great legal team for recording a conversation on the telephone that almost seems like I did embrace technology leader on it.
I would put it in AI and go, where is the strength for the case against me?
Wants a brief of evidence being served?
What is the strength of the case against me?
And this is my case, and then present the cagun argument.
Speaker 3For sure yep.
Speaker 1So is there a role for solicits anymore?
Speaker 3Well, do we need less solicitors?
We won't go if we put it.
Speaker 2Look like we were saying before on my lens through policing was a certain bias, and that's so changed now that I've come out on the other side and really respect and admire the work that I've done by defense teams because they've got to go through so much information on these serious cases, and you know, is there an avenue there to explore or not?
Is this the right person or not?
That's our judicial system.
But there's definitely a place for AI.
And imagine the hours that are spent on that.
But you know, the research solicitors, the well.
Speaker 1The poweralegals, legals, so find this case law and all that.
Speaker 2Yeah, sorry, guys, it might be, it might be changing for you, but you know it'll shift to another focus.
We saw this with computers and everyone thought, oh, it's going to be the end of it all.
Even's going to be out of jobs.
But we've seen it now advanced manufacturing.
It's just shifted and I dare also use that word that I hate from COVID pivot.
Speaker 1You're clearly from down Victoria.
Speaker 2That's right.
Speaker 1We heard it every stingy Daniel Andrews every day.
Speaker 2But yeah, we've seen the advancements and new technology does bring new challenges and brings new things, but it takes that to the next step and next generation.
Who knows what we're talking about in twenty years, like we look now at you know, you look at some images and videos now and you go, that's a I think in three, four or five years, you're not about.
Speaker 1To tell we went well, the young child down in South Australia that disappeared gus that they were getting a lot of AI and a lot of media.
Different organizations reached out to me to comment on it.
Just based on my experiences with the Willim Turreal matter and what I acknowledged with the Willim Tural matter, it was very difficult because people there were a lot of sightings of William Tyrell and yeah, you had to sift through it, you had to follow it up.
And we ended up working out the triarche system on what weight we'd carry a siding of wim.
But then another layer came in with the gust thing because there was AI generated images of and yeah, you could work it out relatively easily that it was AI generated, But as you said, it's going to get better and that's going to be very hard for investigators to sift through what's real and what's not.
Speaker 2Yeah, it's pretty scary, not just the images, but then voice, the use of people's voice.
And you know, we did do a bit of this on the show Hunted where we cloned the person and we're able to write the script and rang their mother as if we were the fugitive sneak.
Yeah, but you know there's a criminal element that comes in on this too, doesn't it.
So you know, we see a lot of frauds that that happen.
Organized crime internationally will use this technology to try and commit fraud, which is why I have with my kids.
The best way to try and get around is you have your code word.
Right, So if my kids are overseas, Hey Dad, I'm stuck on need some money, which is your classic case, son, what's the code word for the day.
Yeah, I won't know that, so it might sound like my son might be purporting to be here.
Speaker 1Because that's your protection.
That's a very simple, practical.
Speaker 3Easy way.
But then they've got to remember the code.
But no, that's that's our simple one.
Speaker 2And I know if I meet the talking to them on the phone, or you know, they've sent me a voice message, you know, then fact check what's the what's the code?
Speaker 1So with AI and voice copying the voice, there's all these hours and you're you're the same in the stuff that you've done in the media, and you've got me talking here on the podcast.
They in effect could copy that voice and at this point it could be leaving the message.
But I dare say it would get to the point where they could have a conversation.
Speaker 3In my voice exactly.
Speaker 1Yeah.
Speaker 3Scary stuff, isn't it.
Speaker 1Especially if they fhm, my mother.
Speaker 2That's right, And that's that's the vulnerability.
We always see organized crime will keep shifting to where the gap is.
We've seen that in the tobacco industry.
Yes, we saw it through the armed robbery days.
You know, when was the last time we saw a bank robbery.
Well that's because we target harden, didn't We know now that the real opportunity is online fraud and scams and targeting our elderly that aren't up with the tech.
And there's a lot of work being done by the banks to educate, you know, fact check, you know, if that email doesn't look quite right, and don't do it.
So there's a lot of space.
So that's why it's so critical to have this developed.
It's going to be developed.
The crooks are going to use it to law enforcement needs to be right up there with them, not falling behind.
Speaker 1Well, we have to because I thing about the crookxy creative in the way they can exploit the situation and moving as you said with the tobacco wars or whatever, if they see an area they can exploit.
But it makes me concerning that even before you'd go to court, if you had the phato of someone there or something and there's a hard evidence, we don't know.
Sound like Donald Trump, fake news, fake.
Speaker 3Image, that's right?
Speaker 1Where is it?
Where's it going to?
Speaker 3Where does it end.
Speaker 2Yeah, Yeah, that's a scarity there are you know, there are ways of trying to find if that is AI generated or not.
And we're getting into a complete area where which is outside my wheelhouse of how that's done.
But that's part of the reason of building it, building it with the ethics that it needs to be.
Speaker 1Getting back to two investigations, let's just put their heads to how else it could help the fact sheet and all these things seem relatively little, but in a high turnover, the high volume crimes, the type of things that the these police are out doing on a daily basis, and it might be arrest arresting someone for a break and enter, and that should in theory free police up if we embrace what AI can do for us.
Speaker 2Yeah, I think that's a no brainer.
Yeah, it should free up countless hours.
How do you We'll just give one example of the one homicide detective, then a few times at by the volume crime as well, which you know, potentially the crime mapping, the predictive data of where the hot spots are.
We've seen a lot of great work done in that space in policing over the years.
But there's another argument for another aspect of AI to look at the crime mapping.
You know, where where's all your cars getting broken into?
What do we used to say that, You know, you'd see a crime spike of those volume crimes.
You go, well, there's a dealer around here somewhere, because they're not going to hold onto the stolen gear for long.
They want to offload that really quick.
Speaker 1They'd be someone could be as simple as someone targeting a shopping center car park.
Car has been broken into, and you know we'd put a car in there, settle up with clear left unlocked and wait till the person come to arrest them.
But identifying patterns in crime would be good.
Linking crimes is another thing, and we've got a lot better, I think in law enforcement because there's more of an exchange of information between jurisdictions at state police and that.
But serial offenders the type of thing that quite often went unnoticed because there was no link to the crime that this person had committed in another location.
Speaker 3Yeah, exactly.
Speaker 2And I think you just speak to the core of what I'm hopefully trying to push is that all law enforcements need to get on board this and once the border they don't care about the borders.
We've seen that and we've sadly learned the hard lessons of those serial offenders that will jump jurisdictions because we weren't communicating.
We're so much better now, but we can still improve and if we're going to do this, I think everyone needs to get on board because you know, the I guess the armed robbery or the sex offense that's committed over in way, maybe the exactly the same or the way of offending.
Then all of a sudden it started up here in Queensland and there's a real space there as well to understand that and learn from that and market as a flag and go, well that needs to be looked at.
Is that possible that that could be the same offender?
Speaker 1Okay, interview So I keep coming back to the interview room.
You're playing with my head thinking I could sit here with interview you for a couple of hours, and then my phone tells me you've forgot to ask this or forgot to ask that.
Speaker 3You could.
Speaker 1A lot of the preparation for the interview room was preparing for the interview, and that quite often meant you had to read through the whole broef and get all the details so you had it in your head, I would imagine AI could help with that.
Speaker 2Yeah, the same question as what we asked before, rather than the question to the AI is put this together for the district court or Supreme court?
Is with all the available evidence to me at this stage?
Draft mean, and if you plan based on these offenses and in line with the points of proof to prove the charge, you can't.
Speaker 1Now that I could see the benefits of it.
But I also think, and you said, you need that human oversite.
You need an experienced police officer there listening to how you answered the questions, because I've seen mistakes people have made, and I've probably made it myself that you work so hard to Okay, I got to ask these questions.
You've got twenty questions written out.
Good, I've asked that one, I've asked that one.
But you're not listening to the stances.
Speaker 2Yeah.
Speaker 1So yeah, it's a balance between the human oversite and what AI can bring.
Speaker 2Yeah.
I've been caught by that, I've got to say embarrassingly, because you're so focused on your interview plan and where you're going.
But that's why I would have your corroborator next to you to hopefully pick up on that.
And when I first started homicide, you know, I'm on my introduction to the homicide world.
I think it was day two I was there.
We'd actually had a fellow in for interview, you know, and your teams watching through the other window, listening, and they're all contributing because everyone has different aspects of the brief, aren't they.
So that was how it was done and here's the next step to that.
So if you you know, you still have people listening, you still have your boss listening or checking, but you've got your AI assistant.
They're making sure that you've covered everything off and hopefully validate where you're at.
Speaker 1Well in what we're talking about.
You would think that, because I'm not sure if we spoke on camera or off camera, we're certainly talking about that the struggles that most police forces in Australia are getting recruiting people at the moment.
So the police that we've got, we've got to use them smart, use them most efficiently.
And if law enforcement embrace this, one would think that it would free up police from a lot of the work behind the desk.
Speaker 2Yeah, I definitely feel that, and I feel that it's about trying to identify what's going to be your big spang for buck, and right now I think that's the administration piece.
My heart goes to helping solve crime.
Obviously that's what I want.
But the biggest piece I would think here, I guess for the senior police is getting rid of the administrative tasks that are day to day.
If you LANs your brief preparation, your fact checking, your rosters, all those administrative tasks that could be taken away and all of a sudden, you know, your analysts hours a cutdown, investigators hour as a cutdown.
We're trying to work through some data now on actually putting a monetary value on how much that is to be able to sell.
This is why we need to invest in this, and this is why we need you to come on this journey with us.
Speaker 1That would be interesting.
And I think with an analyst, and I've worked with some great analysts over the years, and I think how they would readily adapt to using AI, like as in not making them obsolete by using it.
It just frightens me the amount of information they'd be able to spit out so it doesn't have to be the dumb lead investigator.
The analysts and the analyst is embracing it.
Speaker 2Yeah, another tool for them to use, and they're forward facing to the investigations that matter and using their skills that matter, not just a monthly reporting.
It's an important part of the piece for the big strategic vision.
But again that doesn't need to be done by a human can be fact checked and looked at.
But if you train it appropriately and it's all there for everyone to see live.
We've seen all the advancements in body worn cameras and well that it's all there.
It just needs to come together.
Speaker 1Well, people might think this is an exaggeration, but I think you might be able to corroborate me here.
I retired as a detective chief inspector.
I was an inspector for the last fifteen years, or a detective inspector in the police.
I reckon thirty to forty percent of my time spent when I'm leading investigations, leading all different murder investigations, thirty to forty percent of my time with been administration and menial administration.
I would I'd cringe saying it, but it was the reality that once a month I'd be spending two or three hours adding up card diries making sure the car diaries calculated.
And if I missed doing the car dory, that was probably worse than not solving the crime.
I should submit the car dories on time.
They had to check all the people under me, so things like that that should just be by the wayside.
Speaker 3Yeah, again, no brainer.
Speaker 2Yeah, make it happen for everyone up and you know there was a joke about it, but there is that stress of the ADMIN that comes with it as the team leader as well.
The monthly times come around and you know you need to make more time for your admin.
Need to sit down do this not Well, we're just going from job to job to job and if we need that now you need to make these red lights green.
Speaker 1I don't think I'm unique.
I don't think you speak to any operational police officers and the frustration I used to, in fact joke sometimes say about one o'clock, okay, admin done, let's start investigating this murder.
But it was quite often we're all office bound because we're catching up on record keeping administrators.
Speaker 2Yeah, it's definitely got its place.
Yeah, look, it's a no brainer for me.
But we're just we're really close to I think getting on that right path it's got to have some courage to do it.
And there's been a lot of changes in senior management and chief commissions around the country, so you know there's time to come in here and lean on.
Speaker 1I don't blame anyone that might have fallen behind or not realized because it is changing so rapidly.
We wouldn't be having this conversation two years ago.
It would be completely different.
We'd be talking like it's a sci fi movie, but now it's reality.
So we talk about saving time.
But the thing that excites me most about is how it can enhance investigations.
Speaker 3Yeah, definitely.
Speaker 1It just seems like a no brain of the human factor, the sharp minded analysts that you'd have on an investigation and the detectives pouring over briefs that can potentially be done.
Speaker 2So much quicker, and imagine what we could do preventing crime and the.
Speaker 3Unseeing cost of prevention.
Speaker 2You know that it was always that movement towards the end of my career was let's try and stop the crime before it even happens.
Speaker 1Well, that's an interesting point too, and I haven't covered and that's something that I wanted to wanted to cover, is that we've been focusing on solving crimes, but how can AI be used to prevent crimes?
Give us some examples there.
Speaker 2Yeah, well, I think the clearest example is then predicting where the hot spots are, And we see a lot of work with that at the moment, but that's generally data predicting where these hot spots are.
The AI aspect might come into that potentially, And where I see it more so is you know you'd see two, three, four, five street robberies or that's one example where if we can identify this offender after the first one or the second one, we know they'll generally keep going because either their motivation is either greed or drug induced, camera or whatever.
If we can identify that person on day one or two, how many offenses have we stopped by being committed by getting that person here not down the road.
That's one aspect to it.
There are some other discussions I'm having with with other developers around the human behavior models.
So you know we've all seen you know, the kids or anyone just before you know, you've watched the footage and go, okay, I can see they're starting to get a thousand yards there.
They're doing this and it's about to be on.
So you can see the human behaviors through footage that something's about to happen.
Speaker 1Right.
Speaker 2You know, when we've investigated either you know, your machety attacks or the like that we see a shopping centers these days, there's a lead up to that.
It just does not all of a sudden explode as a general leader.
So we can train AI to look at those human behaviors and what are the signals here, what's happening here.
Speaker 3So we're getting into a.
Speaker 2Whole other area now of non policing.
But you know, I know private security is very interested in those aspects.
Speaker 1And that's interesting, and we'll use it just by way of an example, the attacks in the shopping centers because it's been in the media a bit.
But yes, it would be a gathering.
Speaker 3Yeah, I'm just featuring like a thing.
Speaker 1Spirits investigator might be able to pick that up, but AI might be able to do it even better.
Speaker 2And we're trying to monitor I don't want to name particular shopping centers, but if you're trying to monitor hundreds and hundreds of cameras, yeah, or big public events, the AI can do that, and it can alert the person that's there in charge of looking at those cameras.
We're seeing something here on camera forty six and forty seven of a gathering of some it could.
Speaker 1Be let's break it down.
That could be put if there's one hundred cameras around the shopping center and AI had put in place that if you see people dressed in this style of more than four gather at a location, alert that saw draw correcting.
We want to know and yeah.
Speaker 2That operator and then look at that and go oh, that's nothing, or well, we've got a problem here and you're onto it twenty thirty seconds a minute beforehand.
Hopefully you can get there and disperse them before anything even happens, so you prevented the crime.
That's always So there's an aspect of human behavior.
So you biomechanics that you need to train with data sets, so you need access to all these different ones that have occurred in the past, and the data is there.
We've got a partner with the right people to build that data and train the AI to Okay, that's all we're looking for, or weapons identification.
I know there's a great project that's been done through one of the people I mentioned before.
Around identifying firearms, similar to what I said about vehicles.
Yeah, so you know what gun you're looking for or exactly which one it is, and.
Speaker 1What you're talking here, Just so I understand and hopefully other people understand, Like, identify a gun.
If I get out of the glock, I can tell it's a glock, but it might have a scratch on the barrel or scratch on the pistol grip.
It might be something like that.
But AI would pick up on that and go, this weapon, there's the same weapon that was used in this shooting.
Speaker 2Yeah, if it's all talking holistically to each other and you've got good footage, so yes, you've got good footage.
But even post offense, if you've got your suspects arrested with is you know, with twenty two or a glock or whatever the case may be, that's that particular weapon.
All of a sudden, you're plugging into all these unsolved ballistic reports of this actually was a clock that was the weapon that killed this person in this murder, because we've got the ejected casing, et cetera.
All of a sudden, you're linking all these cases again cross border stuff that is volumes and volumes of forensic material that it can do in seconds if you're focusing on the right problem.
What is the problem we're trying to solve here?
So weapons identification is one similar to vehicles, they're definitive.
There is an exhaustive list.
There's only so many makes and models of firearms on the planet, so you can teach it too to come up with those options of this is what we definitely think it is, or this is potentially what the type of weapon is.
And again then you look at your execution of search rights.
We know we're looking for a particular maker, model firearm as opposed to the guesswork.
So there's a lot there.
I'm sort of overwhelming the conversation with a different aspects, but I think it really comes back to that initial piece of what is the issue that we're trying to use AIEN to solve?
Is it an administration?
Is it prevention of crime?
Is it cold cases?
Speaker 1And there's all these different things that could enhance.
Speaker 3Or assist working with it.
Speaker 1Hey guys, it's Gary jubilin here.
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Today you said about overwhelmed with information.
It made me think while you were talking about how we were overwhelmed with the availability of information, that when I first started as a homicide detective, there was a couple of people had mobile phones.
You could find out or listen to their mobile phones, or they had landlines and you could track them that way, and that was you know, that that was the line of inquiry.
A bank might have a CCTV camera out the front, but only a bank or a licensed premises.
And I did actually see towards the latter part of my career we were getting overwhelmed with information, like there was so someone's murdered.
You'd get called out.
And the instructions I was given in the early days as a young homicide detective go out and collect all the CCTV footage from businesses and you'd come back, Oh, that service station had one, and you'd be all proud of yourself, and yeah, there was one one at the bank.
Now you say that private homes cars have got you know.
And then as my career progressed, I'm seeing at the top, and I'm looking at all the information we've got and I'm going I'd be pulling my hair out if I had had hair, just overwhelmed with the information.
And AI swings the pendulum back in favor of being able to handle all that information, doesn't it, because we did get to the point where we were able well.
Speaker 3Well, information intelligence is key, isn't it.
Speaker 1Yeah.
Speaker 2So the sooner you can get that in investigator's hands and understand it, yeah, the better you position for your strategy.
So all that information that you're getting from CCTV, from that murder, getting it all together, if you miss that bit of footage that shows it turned left onto the freeway, then you know that's a complete game change, isn't it.
So you won't miss that.
And whether you're plugging in one hundred cameras worth the footage into this AI, it'll track that you tell it.
I want you to track that car.
That's the one we want out of all this information.
We've got timeline and tell me where it's been and what it's done and bang.
Speaker 1And what people didn't When I say people, the public if you're not involved directly in it.
When we've got listening devices in houses, you put a listening device in here, and you've got someone monitoring it.
They can even monitor it live and if something happens or invariably you've got to come back and review it because it's not been monitored live.
So you've got twenty four hours of listening.
Yes, like people going, have you gone gone through that?
Well, it's basically in real time.
And then when you hear the conversation, then you've got to document the conversation.
Speaker 2It was so time, and then they're more blow our minds with then your hat a layer of you know, if you need a translator, Yeah, so yeah, I get one hundred percent your point.
And that's that's those complex pieces of information and large amount of data that it can deal with.
And that definition of AI you said right off the top, that's what it's doing.
It's looking at all of those conversations and if you're after key words or if you're after a key you want them talking about the victim of a planned murder.
You know, you've got a contract, kill job, whatever you want to know whenever that pops up.
Speaker 1And we would get to the point where I've used yeah, limited times when I have people look at the terminology used by by an offender from a psychological or suspect from a psychological point of view.
You could even feed that into yeah, couldn't you.
It appears that and he's talking about that Issue's demeanor or his language is changing.
Little things like that, and it's only incremental victories, but they're the little things that make the difference.
Speaker 2And gives the advantage back to the police.
Yeah, there's one other piece that I will talk to and it can be quite confronting, so I don't want to trigger anyone on here, but a really I think crucial piece of where AI can help as well as in the child exportation material space, you know you would a basic example, police do a search one on a laptop and you've gond a laptop and you've got hundreds or thousands of really horrific images of child exportation material.
Some of that you may be concerned is contact defending.
So you're trying to identify this kid that's clearly in the footage or in the images with you're accused.
You need to find out who this kid is to stop the contact defending.
So then you're madly trying to figure out how how is this possible?
Where is that you're looking at the metadata of the images, you're looking at all this sort of stuff.
The AI should be able to work out that, and it may be to use facial recognition technology of the child to try and identify who is this child.
So that's the piece.
I feel that that's where the trigger for scraping social media is important, because that kid's photo might be in the background at someone's birthday or at a any event, and all of a sudden, you've got a match on this kid that's being offended against, and you can immediately stop that offending through the use of the AI to identify that kid.
There is some work being done in that space by the AFP and monash Uni, and that's fantastic, but you know, it needs more support, it needs more funding, and it needs more attention to help protect these kids because it's crucial because there's nothing worse than investigator.
I can't find this kid and we know they're being offended against, and you can't release it to the media.
You know that you've got to protect the identity of these kids.
Speaker 1That seems like a no brainer that if I can help in that space, and I understand what you're saying the kid that's been sexually abused and you've got to identify that child.
I could help.
Speaker 2That's why I want to write.
Partner with the right investors that have the same morals and purpose that we have at Perigrin to get this done because we can protect kids.
Speaker 1We touched just briefly.
Fiscally, this seems like a no brainer for law enforcement.
Yeah, freeing up, freeing up more success, reducing crime.
There seems to be benefits all over.
Speaker 3Yeah, I think so.
Speaker 2But it's also challenging times, isn't it.
And I can only talk in the Victorian context because that's what I saw when they were seeking a new Chief commissioner.
You to have to save ordered by the government to save five hundred million per year in your budget, so you know, good luck, chief, but better you than me.
But that's the first step off point.
So you're then coming along or a company like Peramn's coming along, going we want you to partner with us because we want to invest in this.
You really can't expect the government to be stepping or the police to be stepping up in their budget to assist.
Hence what we need corporate support.
But it is a no brainer but eventually they'll get there to see the benefits.
We've saved so many hours in investigators time and administrative tasks.
But right now it'd be very challenging and for them to commit.
Speaker 1I hope they see it that way because, as we said, sometimes police, when technology changes, we drag our Yeah, I'm sure there's not many detectives that have to g to a private company to get something that the police.
You would assume police had capabilities of but didn't.
Speaker 2Well, like I said, I was at a conference eighteen months two years ago and it was around the child expectation and very senior police and I won't name the organization.
We're there going when is corporate?
When is private sector going to step up and help us?
Went, oh, let's have a conversation FORFE So well yeah, so yeah, it's close.
We just need to keep it going, keep the conversation going, and keep developing it.
But look, coming back to it, I just thought of when were speaking before around the use of AI and cameras and that now it's actually present.
Now I've got your cameras around my place and they're they're giving a plug to the UFI system, but they've got AI in there, So you can now load someone's face onto your home CCTV system and it'll alert me when that person is there, whether I want them there or not.
So the AI is already plugged into some of these things that are there, so you know, as you said, it's coming, it's here.
Speaker 1Well that that could you just made me think we'll go into an area, very real area that like domestic violence and then that type of thing.
But you could forewarned if someone's someone's turning up.
Speaker 2So that's that's that natural evolution of what used to just be, you know, an old school c CDV camera.
They've got chunky ones on there that are now these small little ones that are either powered by solo or battery, and they've got AI into them that can alert you to know whether you do want them or don't want them there, can give you an alert to your phone, and you can be anywhere in the world.
I think I was lucky enough to be overseas not too long ago, and I'm getting alerts from my camera back home.
Oh that's thank you.
That's the person turn up to feed my turtle.
Thanks mate, Yeah, fair cool turtles.
Speaker 3Turtles, turtle's got the weight.
Speaker 1Well, look I really enjoyed the chat, and thanks for coming on.
You're the right person, because I know that someone that brings me crashing into this brave, brave new world.
But the way it's evolved, you know, I might have to have you back in six months time, and it might even be you.
It might be a hologram or.
Speaker 3Something I might remote in.
Virtually, Yeah, yeah.
Speaker 1I think if you've given you've given me an understanding.
I hope the listener is an understanding of what's out there.
Speaker 2I hope so, and I hope that point of just looking a bit further about what I can do.
It's not just a one shop or one scenario fits all.
It's what's the problem, what is it?
And to have some courage to lean into it.
But good luck trying to sleep tonight.
Carry I've blown your mind.
Speaker 1I'm down the rabbit hole.
Now I'm gone.
But we finish off with because I do think that's important, because we know how power can corrupt in police and that the ethics and the integrity that needs with this type of type of.
Speaker 2Thing part of part of our lives absolutely critical, which is why again I've said countless times need to be built here for here.
Speaker 1Just hold on for a second.
I'm just going to put in chat GPT.
How I say goodbye to Graham.
I love it, New Graham for coming on I catch Killers.
It's been a very entertaining discussion.
Thanks Hasburt Chees