schwartz reisman institute

Explanation and justification in AI | Absolutely Interdisciplinary 2022

Women in AI: Cynthia Rudin | Do simpler machine learning models exist and how can we find them?

AI adoption in industry | Absolutely Interdisciplinary 2024

Artificial Intelligence is Here | 2: Citizen consent and the use of AI in government

Women in AI: Maren Bennewitz | Foresighted robot navigation in human environments

Natural and artificial social learning | Absolutely Interdisciplinary 2022

2024-2025 New Faculty Introductions: Paraskevi (Evi) Micha

Shion Guha | Deconstructing risk in predictive risk models

Women in AI: Arisa Ema | From principles to practices: Building an AI governance ecosystem

Onur Bakiner | Pluralistic sociotechnical imaginaries in AI law: The case of the EU's AI regulation

Geoffrey Hinton | Will digital intelligence replace biological intelligence?

C. Thi Nguyen | Transparency is surveillance

Kobbi Nissim | Do machine learning systems meet the requirements of legal privacy standards?

Gillian Hadfield | Judging facts, judging norms: Training ML models to judge humans

Sven Nyholm | AI, responsibility gaps, and asymmetries between praise and blame

Luke Stark | Conjecture and the right to reasonable inference in AI/ML decision-making

Women in AI: Joanna Batstone | AI and data science for good: A journey from industry to university

Talia Gillis | On the fairness of machine-assisted human decisions

Building democratic social choice into recommender systems | Absolutely Interdisciplinary 2022

AI Index Report and Global Public Opinion on AI Report | Absolutely Interdisciplinary 2024

Artificial Intelligence is Here | 3: Deciding when and how to use AI in government

Kelly McConvey | A human-centered review of algorithms in decision-making in higher education

Artificial Intelligence is Here | 1: What is AI? Part 2

Absolutely Interdisciplinary 2022 (Trailer)