AI Governance: Overcoming Policy Barriers to Fairness and Privacy

Artificial intelligence (“AI”) is increasingly influencing critical sectors such as housing and finance, and raising concerns about fairness, bias, and regulatory compliance. This Essay explores the policy considerations essential for operationalizing AI fairness, particularly in regulated industries. It examines the interplay between algorithmic transparency, privacy, and the responsible use of protected class data under existing legal frameworks such as the Equal Credit Opportunity Act (“ECOA”) and the Fair Housing Act (“FHA”). The Essay identifies key policy gaps and challenges in implementing fairness-enhancing techniques, offering actionable recommendations for policymakers, regulators, and AI practitioners. These recommendations propose a holistic framework that integrates technical safeguards with robust oversight to mitigate bias, foster accountability, and ensure public trust in AI-driven decision-making.