Hi everyone!

Hi Camille! :)

Hello! Lovely to see you all!

hello from the university of Greenwich

I am Paul Mersh - PhD student at Greenwich

Hello!!

Hi!

Hey! UoG undergraduate

Hi everyone - I am from Manchester IP but I live in Sheffield -so hi from Sheffield

Hello from the US!

Kerstan-Student from US (UNC)

Hey!

OU law student. UK. Hi all

Hello everyone!! I’m Amalie from Norway and I study at the university of greenwich

Hi everyone, I’m a master’s student from the University of Greenwich

Hi all! ask any of your questions in the Q and A box using the button on the task bar at the bottom of the screen.

If any questions get lost in here, I will put them there... enjoy!

oops Forensic student here 🤭

yes they do and Mike O brien challenged it and the court said it was OK.

Remember to ask any questions for Brandon, Dean, and John in the Q and A

Great book and in our library at Manchester

what was the name of the book?

Unconscious bias perhaps?

Not so UN-conscious?

Autopsy of a Crime Lab Brandon Garrett’s book

This book explains the problem of expert testimony https://www.goodreads.com/book/show/114943.Whores_of_the_Court

thank you all ✨

Indeed -that was my point -NOT hearing it

So many reasons to bring about the end of the jury system.

it’s really interesting to hear how things were done with documentation and continuity in the past in comparison to what it is now.

Lee Morgan - see our work on https://www.justicebrd.com showing how machine learning may have a role here in the future.

...monster algorithms?

Re machine algorithms. Have read Abstract and looks good. Reminded of statistical vs clinical prediction (Paul Meehl).

https://www.ukessays.com/essays/psychology/clinical-judgement-vs-statistical-predictions-4887.php

Also, even though ML can indeed have a role, to what extent are we sure that it eliminates bias?

Can one ever eliminate bias? I think the best one can hope for is to limit its influence.

Bias in machine learning is exremely important and is covered in detail in our paper and sensitivity analysis.

https://academic.oup.com/lpr/advance-article-abstract/doi/10.1093/lpr/mgaa003/5807887

Thank you Cliff Mitchell.

Full article here: https://academic.oup.com/lpr/article/19/1/43/5807887?

'This model has been 'trained' on a number of murder cases where the true outcome is already know and then tested on many other known cases and shown to produce the correct verdict with 100% accuracy.' doesn't this assume the verdicts are correct in the first place? is this just repeating identified patterns?

The training cases are based on exonerations and 'true guilt'

Yes Alex, very well highlighted I think

Cliff Mitchell : do you have anything further on The naïve Bayes classifier?

Giah, exactly! Good point!

what is 'true guilt'?

Naive Bayes was chosen for its simplicity and proven to work with small data volumes. The paper has references to appropriate sources.

@Giah I don't know how to insert a heart in the zoom chat but <3

Thanks Cliff, am unable to follow links for some reason.

We use a number of criteria to define 'true guilt' or sound convictions including "...the defendant was found guilty by a jury and later the conviction was supported by, say, reliable confessions of guilt or guilty pleas at a re-trial"

Please just cut and paste this: https://academic.oup.com/lpr/article/19/1/43/5807887

YES- see the new report in the UK - BUT alas until it happens to you most of the public are not interested ...

@Claire I strongly agree with that

let us in the IPL know for sure :)

Thank you all

Thanks very much to all!

Please do ask questions of these wonderful students in the Q and A

You can check out the cases for the IPL at www.IPLondon.org

PechaKucha is a storytelling format where a presenter shows 20 slides for 20 seconds of commentary each. These were great for the IP this year

Amelia - 100%! So many opportunities and quite a lot of travelling too to symposiums which is so exciting

Amelia, lots of these students are undergraduates, I will ask your question in the 'questions'

A surgery?

We train students and support them -they also learn as they go.

So good to hear from you all and thanks for coming - WE CAN ALL PUSH ROCKS - even if it is not that far...

Thanks to all of you for your great questions and comments.

Thank you everyone. That was amazing! And you’re doing amazing work!

thanks to the speakers too, for sharing your experiences.

well done Megan for staying up all night !!

Thank you!

Thank you to the speakers, it’s been an incredibly inspiring evening!

Thank you everyone!