A new recording of our FridayTalks@Tübingen series is online! Adaptive Symmetrization of the KL Divergence by @omribendov.bsky.social Watch here: youtu.be/VPu1Rd4TmkU

We (w/ Moritz Hardt, Olawale Salaudeen and @joavanschoren.bsky.social) are organizing the Workshop on the Science of Benchmarking & Evaluating AI @euripsconf.bsky.social 2025 in Copenhagen! 📢 Call for Posters: rb.gy/kyid4f 📅 Deadline: Oct 10, 2025 (AoE) 🔗 More info: rebrand.ly/bg931sf

In our new work we ask: Can end-users make a platform’s ML models fairer? Firm-side fair learning often reduces accuracy, discouraging firms from using it. But if a platform relies on user data, can minority users collectively change the data to induce fairness? (1/4)