Markus Trengove

Papers

Total Citations

H-Index

About

Markus Trengove is a legal scholar and emerging authority at the intersection of artificial intelligence, employment law, and algorithmic accountability. His research focuses on the governance of AI-driven decision-making, particularly the regulatory frameworks needed to ensure fairness and transparency in automated hiring processes. Trengove’s most-cited work, “Regulating the Robots: NYC Mandates Bias Audits for AI-Driven Employment Decisions” (2022), provides a seminal analysis of New York City’s pioneering bias audit law—the first of its kind in the United States. In this paper, he dissects the legal and technical challenges of auditing algorithms for discrimination, offering a critical roadmap for policymakers and employers navigating this nascent regulatory landscape. Though early in his career, Trengove’s scholarship has already garnered attention from legal practitioners, tech ethicists, and civil rights advocates, with over six citations in a rapidly expanding field. His work is notable for bridging the gap between abstract legal principles and the practical realities of AI deployment, making him a key voice in the ongoing debate over how to regulate autonomous systems in the workplace.