Thursday, April 21 2022
5:00pm - 6:00pm
Molecular Sciences and Engineering, room 1224
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Pragmatic AI Safety with Dan Hendrycks

Dan Hendrycks is a graduate student in Computer Science at UC Berkeley and has been a driving force in building AI safety as an academic field.

Abstract: AI systems are rapidly increasing in size, are acquiring new capabilities, and are increasingly deployed in high-stakes settings. As with other powerful technologies, safety for AI should be a leading research priority. In response to emerging safety challenges in AI, such as those introduced by recent large-scale models, I provide a pragmatic new roadmap for AI safety. I'll discuss how researchers can shape the process that will lead to strong AI systems and steer that process in a safer direction.