AI Safety Thursday: Beyond Adversarial Robustness - Rethinking Sociopolitical Safety in AI Systems

​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.

​This is part of our weekly AI Safety Thursdays series. Join us in examining questions like: 

• ​How do we ensure AI systems are aligned with human interests? 

• ​How do we measure and mitigate potential risks from advanced AI systems? 

• ​What does safer AI development look like?