Human-centric machine learning

This program aims to ensure that machine learning systems generate broad societal benefits and earn public trust. Its research pillars include transparency and interpretability of algorithmic decisions, fairness and accountability, legal and technical certification frameworks, robustness in real-world deployment, and human oversight in AI systems.