Miri is a Senior Research Associate and a Leverhulme Research Fellow in the Machine Learning Group at the University of Cambridge, a College Research Associate at King’s College Cambridge, and an Associate Fellow at the Leverhulme Centre for the Future of Intelligence. She works on Responsible AI, focusing on application areas such as criminal justice and social care where (i) decisions can be life-changing, (ii) individuals cannot opt out, (iii) protective legislation (e.g, GDPR) does not apply, and (iv) wrong predictions can cause significant harm. 
Before Cambridge, she was a Research Fellow in Machine Learning at the University of Sussex, focusing on fairness, equality, and access. She obtained a PhD in Physics from the University of Warwick, and holds an M.Sc. in Physics, and a dual B.Sc. in Physics and Biology from Tel Aviv University.

SWS   Info

AG Audience

English

60 Minutes

Kaiserslautern

Despite widespread enthusiasm for AI from governments worldwide, ensuring that AI adoption positively impacts society remains a challenge. Focusing on applications in criminal justice and social services, this talk will examine the significant gaps between current AI capabilities and the demands of real-world high-stakes decision-making. I will demonstrate critical shortcomings of current approaches to AI transparency, fairness, and effective human oversight, and discuss my work on addressing these issues, and its impact on policy and UK public services to date. 

Concretely, I will first show how we used statistical modelling to uncover racial bias in algorithmic risk assessment instruments used for bail and sentencing decisions. Next, I will turn to my work on human-AI interaction that combines large language model speed with human accuracy to extract information from unstructured documents with high-precision. This system has served practitioners across disciplines, and is a core component of our pioneering effort to enable researcher access to UK Crown Court transcripts. I will conclude by outlining my research vision for developing urgently needed evaluation and auditing tools for human-AI systems deployed in high-risk decision-making contexts.

Vera Schreiber

+49 631 9303 9603

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