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
Black in AI Safety and Ethics (BASE) – Paper Reading Vol 3.
We’re coming together for our 3rd week to read, learn, and connect through ideas that shape the future of AI. During the paper reading, we will explore a research paper on AI safety and governance, taking the time to unpack key ideas and reflect on their implications for responsible and inclusive AI development.
The paper session reading creates a space for us to learn, connect, and grow together in conversations about AI safety and ethics, while welcoming everyone who wants to learn alongside the community. You don't need to be an expert; you need to be open, curious, and ready to explore together.
Click on View Event for more info and the sign up link