Fairness, Accountability, and Transparency form a framework ensuring ethical decision-making in AI and governance. It prevents bias, clarifies responsibility, and opens processes to scrutiny. Organizations use these principles to build trust, improve compliance, and foster equity. Beneficiaries include consumers, employees, and regulators, who gain reliable, just, and explainable outcomes from automated and institutional systems.
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