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Nicholas Caputo

Assistant Professor

  • Hopkins Bloomberg Center
    Washington, DC
  • J.D., Harvard Law School
  • B.A. Political Science & International Relations, Carleton College

Nicholas Caputo studies how law can govern artificial intelligence, and how AI can in turn renew and improve our legal and administrative institutions.

Caputo’s work begins from the problem of how to keep powerful, expert, and inscrutable decision-makers under legitimate democratic authority in their exercise of discretion. This is a problem that the law has long wrestled with and that frontier AI poses acutely. He draws on jurisprudence, constitutional and administrative law, and advancing technical methods in AI alignment, evaluation, and control, using each of these fields as design materials for the others.

His recent research runs along three connected lines. First, his legal alignment work argues that AI alignment and law share a common structure, such that legal theory and methods can inform how AI systems are trained to reason and act (Legal Alignment for Safe and Ethical AI, Transactions on Machine Learning Research (TMLR); Alignment as Jurisprudence, Yale Journal of Law and Technology). Second, he studies the technological history of public and private law, drawing lessons to help adapt our existing institutions to emerging technologies (“Quiet Enjoyment”, Stanford Technology Law Review; Administrative Law’s Fourth Settlement: AI and the Capability-Accountability Trap, working paper). And third, he examines novel private governance instruments and institutions such as AI constitutions and catastrophic risk frameworks, exploring questions of legitimacy and accountability (Can Claude Consent to its Own Constitution? AI Constitutionalism and the Paradox of Constituent Power, working paper).

Caputo has presented his work in technical venues, including workshops at NeurIPS and CHAI, and has advised policymakers around the world on AI governance. He has experience with strategic litigation and policy advocacy in the United States and in the European Union. 

Caputo is also Law & AI Lead at the Oxford Martin AI Governance Initiative (AIGI). He has a J.D. from Harvard Law School and a B.A. from Carleton College. Before law school, he taught debate in China for two years, largely during the COVID-19 pandemic. He speaks French and Mandarin Chinese.

  1. Legal Alignment for Safe and Ethical AI

    Legal Alignment for Safe and Ethical AI

    How can legal rules, principles, and methods can be leveraged to address problems of alignment and inform the design of AI systems that operate safely and ethically?

    01.07.2026

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  2. Administrative Law’s Fourth Settlement: AI and the Capability-Accountability Trap

    Administrative Law’s Fourth Settlement: AI and the Capability-Accountability Trap

    The “Fourth Settlement” framework of administrative law escapes the capability-accountability trap by preserving capability while restoring comprehensible oversight of administration.

    01.09.2026

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  3. “Quiet” Enjoyment: Uncovering the Hidden History of the Right to Attention in Private and Public

    “Quiet” Enjoyment: Uncovering the Hidden History of the Right to Attention in Private and Public

    The future of attention relies upon the lessons of its past, and explicitly recognizing the so-far hidden right to attention provides better ways of shaping its future.  

    03.01.2025

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