Scholar
Miri Zilka
Google Scholar ID: NXckPhUAAAAJ
University of Cambridge
Citations & Impact
Citations
613
H-index
12
i10-index
14
Publications
20
Co-authors
1
list available
Publications
Resume (English only)
Academic Achievements
- Publications:
- - Beyond Use-Cases: A Participatory Approach to Envisioning Data Science in Law Enforcement (FAccT, 2024)
- - Optimising Human-Machine Collaboration for Efficient High-Precision Information Extraction from Text Documents (ACM Journal on Responsible Computing, 2024)
- - Evaluating Language Models for Mathematics through Interactions (PNAS, 2024)
- - Media Coverage of Predictive Policing: Bias, Police Engagement, and the Future of Transparency (EAAMO, 2023)
- - Exploring Police Perspectives on Algorithmic Transparency: A Qualitative Analysis of Police Interviews in the UK (EAAMO, 2023)
- - AI and the EU Digital Markets Act: Addressing the Risks of Bigness in Generative AI (GenLaw, ICML, 2023)
- - Protecting Children from Online Exploitation: Can a trained model detect harmful communication strategies? (AIES, 2023)
- - The Progression of Disparities within the Criminal Justice System: Differential Enforcement and Risk Assessment Instruments (FAccT, 2023)
- - Conformal Prediction for Resource Prioritisation in Predicting Rare and Dangerous Outcomes (NeurIPS 2022 Workshop on Human in the Loop Learning, 2022)
- - A Survey and Datasheet Repository of Publicly Available US Criminal Justice Datasets (NeurIPS, Datasets and Benchmarks track, 2022)
- - The UK Algorithmic Transparency Standard: A Qualitative Analysis of Police Perspectives (SSRN, 2022)
Research Experience
- Currently an Assistant Research Professor and 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. Previously, a Research Fellow in Machine Learning at the University of Sussex, focusing on fairness, equality, and access.
Education
- PhD in Analytical Science (Physics) from the University of Warwick; M.Sc. in Physics and dual B.Sc. in Physics and Biology from Tel Aviv University.
Background
- Research interests: Responsible Machine Learning, with a focus on high-stakes decision making in areas such as criminal justice and social care. Specifically, where decisions can be life-changing, individuals cannot opt out, protective legislation (e.g., GDPR) does not apply, and wrong predictions can cause significant harm.
Miscellany
- Personal interests and hobbies not mentioned
