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Seth Lazar

Professor, School of government and policy

  • Hopkins Bloomberg Center
    555 Pennsylvania Ave NW
    Washington, DC
  • Faculty
  • D.Phil. Politics (Political Theory) , University of Oxford
  • M.Phil. Politics (Political Theory) , University of Oxford
  • B.A. (Hons) English Language and Literature , Wadham College Oxford

Seth Lazar is a leading voice in the moral and political philosophy of artificial intelligence, bridging traditional philosophical ethics with contemporary technological challenges.

Lazar’s research spans multiple domains and disciplines, ranging from his foundational work in the ethics of war and risk to his current work at the frontiers of philosophy, public policy, and the AI transition.  

Lazar’s research group, the Machine Intelligence and Normative Theory (MINT) Lab, works on AI safety, governance, and resilience. Projects range from evaluating and enhancing LLM moral reasoning, to practical proposals for governing AI agents, to rethinking fundamental moral and political theories and institutions for the age of powerful AI. His book The Algorithmic City: Power, Justice and AI, based on his 2023 Tanner Lecture on AI and Human Values at Stanford University, will be published by Oxford University Press in 2026. 

Lazar is a nonresident scholar of the Carnegie Endowment for International Peace, and a distinguished research fellow at the University of Oxford Institute for Ethics in AI. Prior to joining Johns Hopkins University, he was professor of philosophy at the Australian National University, and a visiting faculty researcher at Google DeepMind. He holds a DPhil, MPhil, and BA (Hons) from the University of Oxford. His research has been supported by organizations including the Templeton World Charity Foundation, the Centre for Security and Emerging Technology, the Survival and Flourishing Fund, AI2050, Google, OpenAI and the Australian Research Council.

  1. Using LLMs to Enhance Democracy

    Using LLMs to Enhance Democracy

    While LLMs should be kept well clear of formal democratic decision-making processes, we think they can instead strengthen the informal public sphere—the arena that mediates between democratic governments and the polities that they serve, in which political communities seek information, form civic publics, and hold their leaders to account.

    02.23.2026

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  2. AI Agents and Democratic Resilience

    AI Agents and Democratic Resilience

    Democracies are weaker than they have been for decades. A great wave is coming, and they are ill-prepared. AI agents may be cure as well as cause, but we cannot depend on them, nor can we simply trust that they will advance democratic values by default.

    09.04.2025

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  3. Position: Build agent advocates, not platform agents, International Conference on Machine Learning 

    Position: Build agent advocates, not platform agents, International Conference on Machine Learning 

    We should promote agent advocates: user-controlled agents that safeguard individual autonomy and choice.

    07.23.2025

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  4. Infrastructure for AI Agents

    Infrastructure for AI Agents

    Much research on making agents useful and safe focuses on directly modifying their behaviour, such as by training them to follow user instructions. Direct behavioural modifications are useful, but do not fully address how heterogeneous agents will interact with each other and other actors. Rather, we will need external protocols and systems to shape such interactions.

    06.19.2025

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  5. Governing the Algorithmic City

    Governing the Algorithmic City

    Algorithmic governing power should not simply be eliminated but can be properly exercised—provided it aims at substantively justified ends and is used according to legitimate procedures by those with authority to do so.

    01.27.2025

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  1. Governing the Algorithmic City

    Governing the Algorithmic City

    01.24.2023

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