Our Work
With former acting White House Office of Science and Technology Policy director, Alondra Nelson, Seth argued against a narrow technical approach to AI safety, calling instead for more work to be done on sociotechnical AI safety, that situates the risks posed by AI as a technical system in the context of the broader sociotechnical systems of which they are part.
Read MoreSeth Lazar has been invited to attend a convening of the Network of AI Safety Institutes hosted by the US AISI, to take place in San Francisco on November 20-21.
Read MoreProfessor Seth Lazar will be a keynote speaker at the inaugural Australian AI Safety Forum 2024, joining other leading experts to discuss critical challenges in ensuring the safe development of artificial intelligence.
Read MoreIn this paper, Seth Lazar and Lorenzo Manuali argue that that LLMs should not be used for formal democratic decision-making, but that they can be put to good use in strengthening 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.
Read MoreIn this seminar Tim Dubber presents his work on fully autonomous AI combatants and outlines five key research priorities for reducing catastrophic harms from their development.
Read MoreIn this essay Seth develops a democratic egalitarian theory of communicative justice to guide the governance of the digital public sphere.
Read MoreIn this essay Seth develops a model of algorithmically-mediated social relations through the concept of the "Algorithmic City," examining how this new form of intermediary power challenges traditional theories in political philosophy.
Read MoreThe Knight First Amendment Institute invites submissions for its spring 2025 symposium, “Artificial Intelligence and Democratic Freedoms.”
Read MoreThis workshop aims to bring together the best philosophical work on normative questions raised by computing, and in addition to identify and connect early career scholars working on these questions. It will feature papers that use the tools of analytical philosophy to frame and address normative questions raised by computing and computational systems.
Read MoreThe fall Workshop on Sociotechnical AI Safety at Stanford (hosted by Stanford's McCoy Family Center for Ethics in Society, the Stanford Institute for Human-Centered Artificial Intelligence (HAI), and the MINT lab at the Australian National University), recently brought together AI Safety researchers and those focused on fairness, accountability, transparency, and ethics in AI. The event fostered fruitful discussions on inclusion in AI safety and complicating the conceptual landscape. Participants also identified promising future research directions in the field. A summary of the workshop can be found here, and a full report here.
Read MoreIn this piece for Tech Policy Press, Anton Leicht argues that future AI progress might not proceed linearly and we should prepare for potential plateaus and sudden leaps in capability. Leicht cautions against complacency during slowdowns and advocates for focusing on building capacities to navigate future uncertainty in AI development.
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