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

Fairness, Accountability, and Transparency in Machine Learning (FAT/ML) are principles ensuring AI systems are just and understandable. Fairness means preventing bias so that decisions don’t unfairly favor or discriminate against certain groups. Accountability ensures developers and organizations are responsible for their AI’s actions, allowing oversight and remediation if issues occur. Transparency involves clearly explaining how AI makes decisions, so users understand the process and can trust the system. Together, FAT/ML promotes ethical AI development that respects people's rights, promotes trust, and minimizes harm.