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Dr Miri Zilka
PhD in Analytical Science (Physics), MSc in Physics, Dual BSc in Physics and Biology
Assistant Research Professor and Leverhulme Research Fellow, Machine Learning Group
College Research Associate at King’s College
Associate Fellow at the Leverhulme CFI
About me
Miri’s work asks how algorithmic tools should and should not be used in decisions that have serious implications. She combines machine learning with a human-centred approach to fairness and risk, working closely with practitioners in criminal justice and social care to understand how these systems behave once deployed, not just in theory.
Course
Publications
Zilka, M. et al (2024). Evaluating language models for mathematics through interactions(Opens in a new window). In Proceedings of the National Academy of Sciences, 121(24), e2318124121.
Zilka, M. et al (2022). Transparency, governance and regulation of algorithmic tools deployed in the criminal justice system: A UK case study(Opens in a new window). In AIES ’22: Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 880–889.
Zilka, M. et al (2022). Racial disparities in the enforcement of marijuana violations in the US(Opens in a new window). In AIES ’22: Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 130–143.