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Andreas Krause (ETH Zürich), Xin Guo (University of California, Berkeley), Katja Hofmann (Microsoft Research - Cambridge), Shruti Mishra (University of Cambridge)
Friday 20 March 2026, 11:45-12:45
Panel Discussion on Ethics and Related Challenges in AI for Science
⚠️ Important: SCLW02 - Reinforcement Learning for Science: Discovery and Automation
- 👤 Speaker: Andreas Krause (ETH Zürich), Xin Guo (University of California, Berkeley), Katja Hofmann (Microsoft Research - Cambridge), Shruti Mishra (University of Cambridge)
- 📅 Date & Time: Friday 20 March 2026, 11:45 - 12:45
- 📍 Venue: Seminar Room 1, Newton Institute
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Abstract
This panel will explore ethical, social, and practical challenges surrounding the use of AI in scientific research. Topics will include responsible and transparent AI, data governance and bias, reproducibility and trust in AI-driven discoveries, and how researchers from different disciplines can collaborate effectively in AI for science. The discussion will also examine the broader societal impacts of AI, including how AI may reshape research practices, career pathways, and roles in academia and industry, particularly for junior and early-career researchers.
Series This talk is part of the Isaac Newton Institute Seminar Series series.
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