Center for AI Safety
Dan Hendrycks is a prominent leader in AI safety, currently serving as the Executive Director of the Center for AI Safety since January 2023. Hendrycks has a diverse background in research, having previously completed a Research Internship at DeepMind, focusing on robustness and uncertainty, and engaging in ML safety research at the Toyota Technological Institute at Chicago under Kevin Gimpel. Additional research roles include an internship at Oregon State University with Thomas Dietterich and a summer fellowship at GiveWell. Educationally, Hendrycks holds a PhD in Computer Science from the University of California, Berkeley, and a degree from the University of Chicago, complemented by foundational studies at Marshfield High School in Missouri.
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Center for AI Safety
The Center for AI Safety (CAIS) is a San Francisco-based research and field-building nonprofit. We believe that artificial intelligence (AI) has the potential to profoundly benefit the world, provided that we can develop and use it safely. However, in contrast to the dramatic progress in AI, many basic problems in AI safety have yet to be solved. Our mission is to reduce societal-scale risks associated with AI by conducting safety research, building the field of AI safety researchers, and advocating for safety standards.