FAT/ML

FAT/ML (Fairness, Accountability, and Transparency in Machine Learning) is a field focused on ensuring that AI systems operate ethically and responsibly. It addresses challenges like bias, unfair treatment, and lack of clear explanations in machine learning models. The goal is to develop techniques that make AI outputs fair, understandable, and accountable to users and stakeholders. By doing so, FAT/ML aims to build trust in AI technologies, prevent discrimination, and promote the responsible use of data-driven systems across various applications.