Profile: Dr. Sanmi Koyejo — Stanford AI Researcher on Trustworthy Machine Learning for Scientific Discovery
By
Sowkhya Shanbhog
Hot, fresh, and worth queueing round the block for.
Summary
This article is an interview/profile of Dr. Sanmi Koyejo, a Stanford computer science professor and leader of the STAIR Lab, who is a plenary speaker at the 248th AAS meeting. His research focuses on the intersection of machine learning, scientific discovery, and building trustworthy AI systems. The piece explores his work on developing foundations for evaluating AI trustworthiness, particularly in scientific contexts.
Key quotes
· 2 pulledSanmi Koyejo works at the intersection of machine learning, scientific discovery, and the difficult question of what it actually means to trust an artificial intelligence (AI) system.
His work develops foundations for evaluating and [building trustworthy AI systems].
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