Let's be honest. The last AI conference you attended was probably littered with ethical buzzwords ( fairness, privacy, accountability, transparency, safety...) whose actual meanings are vague and contentious.
Mathematical Proofs for Fair AI Bias Analysis | HackerNoon
The study focuses on developing a distributionally robust optimization approach for fair supervised learning that enhances fairness criteria while ensuring robustness against data variations.