Chris Reed

Papers

Total Citations

H-Index

About

Chris Reed is a leading scholar at the intersection of law, technology, and artificial intelligence, whose work has profoundly shaped how we think about regulating AI systems. His research focuses on the legal and ethical dimensions of AI transparency, accountability, and explanation, with a particular emphasis on how regulatory frameworks can adapt to the unique challenges posed by autonomous technologies. Reed’s major contribution lies in his critical analysis of “explainability” in AI, where he argues that demands for explanations are often disguised normative questions about what *ought* to have happened, rather than purely technical inquiries. His 2022 paper, “Non-Asimov Explanations: Regulating AI Through Transparency,” which has garnered 4 citations, exemplifies this approach by challenging the assumption that AI explanations can be neutral or objective, instead revealing their inherently value-laden nature. This work has influenced debates in both legal scholarship and policy circles, offering a more nuanced framework for designing transparency obligations. Reed’s insights are essential for students and researchers grappling with the governance of AI, as they illuminate the hidden normative assumptions behind calls for algorithmic accountability.