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Black in AI Safety and Ethics (BASE) – Paper Reading Vol 4.

Join us for a discussion on practical strategies for empirical AI alignment research. We’ll explore a collection of tips and mindset shifts shared by experienced researchers to help streamline experimentation, improve research efficiency, and approach alignment work with clarity and focus. This session is ideal for participants looking to strengthen their empirical methods and gain insight into effective research habits in AI safety.

The paper reading for those in US time zones is Thursday, Nov 6, at 5:30 PM PST. The paper is Tips for Empirical Research by Ethan Perez

To register: https://luma.com/s3rk4zfy


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October 30

Black in AI Safety and Ethics (BASE) – Paper Reading Vol 3.