Nigel Kingsman
Papers
1
Total Citations
6
H-Index
1
About
Nigel Kingsman is a leading scholar at the intersection of artificial intelligence, employment law, and algorithmic accountability. His work focuses on the critical challenge of regulating AI-driven decision-making in the workplace, particularly around bias and fairness. Kingsman’s most-cited paper, “Regulating the Robots: NYC Mandates Bias Audits for AI-Driven Employment Decisions” (2022), has garnered 6 citations and stands as a foundational analysis of New York City’s pioneering law requiring bias audits for automated employment decision tools. In this work, he dissects the legal and technical implications of the mandate, offering a roadmap for policymakers and practitioners navigating the nascent field of AI governance. Kingsman’s contributions have shaped how scholars and regulators understand the practical enforcement of algorithmic fairness, bridging the gap between abstract ethical principles and concrete legal requirements. He is recognized for his ability to translate complex regulatory frameworks into actionable insights, making him a key voice in the ongoing debate over how to balance innovation with civil rights protections in the age of intelligent machines.
Research Focus
Key Achievements
Top Papers
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