The Fairness, Accountability, and Transparency (FAT) framework refers to a set of principles aimed at ensuring that algorithms and automated systems operate justly and ethically. This framework seeks to address issues related to algorithmic bias and promote equitable outcomes by emphasizing the importance of fair practices, accountability for actions taken by algorithms, and transparent processes that allow stakeholders to understand how decisions are made. By applying this framework, developers and organizations can work towards creating systems that are more inclusive and responsible.
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