2 papers
cs.LG2026
From Protocols to Evidence: Bounded Claims for AI in Service of the Common Good
Nitesh V. Chawla, Paulo Benanti
Claims that Artificial Intelligence systems improve decisions, broaden access, reduce harm, or empower users can exceed what their evaluation establishes. Predictive performance al…
cs.LG2024
Post-Fair Federated Learning: Achieving Group and Community Fairness in Federated Learning via Post-processing
Yuying Duan, Yijun Tian, Nitesh Chawla +1
Federated Learning (FL) is a distributed machine learning framework in which a set of local communities collaboratively learn a shared global model while retaining all training dat…