The Fairness Accountability Transparency (FAT) Framework is a set of principles designed to ensure that data-driven algorithms and analytics are conducted in a manner that is fair, accountable, and transparent. This framework emphasizes the importance of mitigating bias in data and decision-making processes, ensuring that outcomes do not disproportionately disadvantage any group. By adhering to the FAT principles, organizations can promote ethical practices in analytics and build trust with stakeholders.
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