FAT/ML (Fairness, Accountability, and Transparency in Machine Learning)

FAT/ML (Fairness, Accountability, and Transparency in Machine Learning) focuses on making AI systems fair, responsible, and understandable. It ensures models do not discriminate against certain groups, are held accountable for their decisions, and their workings can be explained to users. The goal is to build AI that respects ethical values, reduces bias, and allows people to trust and scrutinize how decisions are made, especially in sensitive areas like hiring, lending, and healthcare. This movement aims to improve AI's societal impact by promoting ethical standards throughout their development and deployment.