John Nelson

Papers

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About

John Nelson is a legal scholar whose research sits at the intersection of technology, automation, and law enforcement policy. Working primarily in 2016, Nelson emerged as a pioneering voice on the largely unexplored terrain of automated law enforcement — a field examining what happens when algorithms, sensors, and robotics replace human judgment in detecting crimes, identifying perpetrators, and administering punishment. His most influential works, including "Inefficiently Automated Law Enforcement" and "Confronting Automated Law Enforcement" (each garnering 18 citations), challenge the assumption that automation in law enforcement is straightforwardly beneficial. Nelson argues that while such systems offer clear economic efficiencies, governments and citizens must grapple with deeper legal, ethical, and constitutional questions that pure cost-benefit analyses obscure. Perhaps most provocatively, his paper "Do Robots Dream of Electric Laws?" (17 citations) reveals a fundamental tension: existing laws were never designed with algorithmic enforcement in mind, forcing programmers to make consequential interpretive assumptions when encoding legal rules into automated systems. Across his body of work, Nelson has helped establish a critical framework for evaluating automation's role in justice, making him an essential reference for legal scholars, technologists, and policymakers navigating this rapidly evolving landscape.