4 citations · 13 across the 8 of their papers we have counts for
4 papers · 1 filter
Video Deepfake Abuse: How Company Choices Predictably Shape Misuse Patterns
Max Kamachee, Stephen Casper, Michelle L. Ding +4
In 2022, AI image generators crossed a threshold, enabling much more efficient and dynamic production of photorealistic deepfake images than before. This enabled opportunities for…
Randomness, Not Representation: The Unreliability of Evaluating Cultural Alignment in LLMs
Ariba Khan, Stephen Casper, Dylan Hadfield-Menell
Research on the 'cultural alignment' of Large Language Models (LLMs) has emerged in response to growing interest in understanding representation across diverse stakeholders. Curren…
Pitfalls of Evidence-Based AI Policy
Stephen Casper, David Krueger, Dylan Hadfield-Menell
Nations across the world are working to govern AI. However, from a technical perspective, there is uncertainty and disagreement on the best way to do this. Meanwhile, recent debate…
Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities
Zora Che, Stephen Casper, Robert Kirk +12
Evaluations of large language model (LLM) risks and capabilities are increasingly being incorporated into AI risk management and governance frameworks. Currently, most risk evaluat…