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Home » How access to information can help us understand AI decision making / mySociety
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How access to information can help us understand AI decision making / mySociety

By uk-times.com21 August 2025No Comments3 Mins Read
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If you were one of the 100+ people who joined us for today’s webinar, you’ll already know it was hugely informative and timely.

We packed three fascinating speakers into the course of one hour-long session on using FOI to understand AI-based decision making by public authorities. Each brought so many insights that, even if you were there, you may wish to watch it all over again.

Fortunately, you can! We’ve uploaded the video to YouTube, and you can also access Morgan’s slides on Google Slides, here and Jake’s as a PDF, here (Jake actually wasn’t able to display his slides, so this gives you the chance to view them alongside his presentation, should you wish).

Morgan Currie of the University of Edinburgh kicked things off with a look at her research ‘Algorithmic Accountability in the UK’, and especially how opaque the Department of Work and Pensions (DWP)’s use of automation for fraud detection has been, over the years.

Morgan explains the techniques used to gain more scrutiny of these decision-making and risk assessment processes, with much of the research based on analysing FOI requests made by others on WhatDoTheyKnow, which of course are public for everyone to see.

Secondly, in a pre-recorded session, Gabriel Geiger from Lighthouse Reports gave an overview of their Suspicion Machines Investigation which delves into the use of AI across different European welfare systems. Shockingly, but sadly not surprisingly, the investigation found code that was predicting which recipients of benefits are most likely to be committing fraud, with an inbuilt bias against minoritised people, women and parents — multiplied for anyone who falls into more than one of those categories.

Gabriel also outlined a useful three-tiered approach to this type of investigation, which others will be able to learn from when instigating similar research projects.

Our third speaker was Jake Hurfurt of Big Brother Watch, who spoke of the decreasing transparency of our public bodies when it comes to AI-based systems, and the root causes of it: a lack of technical expertise among smaller authorities and the contracting of technology from private suppliers. Jake was in equal parts eloquent and fear-inducing about what this means for individuals who want to understand the decisions that have been made about them, and hold authorities accountable — but he also has concrete suggestions as to how the law must be reformed to reflect the times we live in.

The session rounded off with a brief opportunity to ask questions, which you can also watch in the video.

Presented in collaboration with our fellow transparency organisations AccessInfo Europe and Frag Den Staat, this session was an output of the ATI Community of Practice.

—

Image: Michael Dziedzic

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