Algorithmic fairness: challenges to building an effective regulatory regime

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Defining algorithmic fairness is complex, leading to challenges in creating effective AI regulations.
Current legislative proposals struggle with inconsistent definitions of fairness, complicating enforcement.
Addressing existing laws that conflict with proposed fairness standards is necessary for coherent regulation.
Effective AI regulation requires a nuanced understanding of fairness to prevent group-based discrimination.

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This article reveals challenges in defining algorithmic fairness in legislation, suggesting improvements for regulatory regimes.

Greg Demirchyan (2025) studied this question.

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