Algorithmic Bias in Credit Scoring: Regulating AI for Fair Economic Outcomes
This brief examines current legislative action to remedy the disparate outcomes caused by algorithmic lending systems and introduces ways for nonpartisan policy solutions to help fill existing gaps.
Inquiry-driven, this project may reflect personal views, aiming to enrich problem-related discourse.
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Diya Sharma
Technology Policy Analyst
Diya Sharma is a youth policy advocate. She has drafted and passed legislation at the district and state level, debated on the national circuit, and presented to national research conferences. She aspires to work at the intersection of technology and public policy.