FAIRS is a selective, two-day workshop designed to bring together prominent PhD students and postdoctoral researchers working on foundations of artificial intelligence and machine learning. Relevant areas include: learning theory; robustness, fairness, and privacy; multiagent systems, RL & game theory; generative AI & alignment; causality & causal inference; quantum computing; stochastic processes & diffusion; physics-informed ML.
Aimed at early-career researchers who are preparing to enter the academic and industry job markets, FAIRS will be a platform for participants to showcase their work, exchange innovative ideas, and network with senior leaders in the AI community. Over the course of two days, attendees will give talks about their research, attend panels on navigating the job market, and build ongoing professional collaborations.
We encourage eligible candidates to apply and look forward to reviewing your applications. See you in October 2026! All selected participants will receive funding for travel costs.