Beyond Adversarial Robustness - Rethinking Sociopolitical Safety in AI Systems

This is a paid event ($5 general admission, free for students & job seekers) with limited tickets - you must RSVP on Luma to secure your spot.

​Adversarial robustness remains a key concern in AI safety, with many interventions focusing on mitigating models’ capabilities to assist in harmful or criminal tasks. But how do LLMs behave in sociopolitical contexts, especially when faced with ambiguity?

​Punya Syon Pandey will discuss research on accidental vulnerabilities induced by fine-tuning, and introduce new methods to measure sociopolitical robustness, highlighting broader implications for safe societal integration.

​Event Schedule
6:00 to 6:30 - Food and introductions
6:30 to 7:30 - Presentation and Q&A
7:30 to 9:00 - Open Discussions

​​​​If you can't make it in person, feel free to join the live stream starting at 6:30 pm, via this link.