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Stop Building Bad AIBoston Review 2021. 2021.Justice demands that we think not just about profit or performance, but above all about purpose.
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Technology Can't Fix Algorithmic InjusticeBoston Review 2020. 2020.We need greater democratic oversight of AI not just from developers and designers, but from all members of society.
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Democratizing AIManchester University Press (Critical Powers). forthcoming.Democratizing AI offers a powerful rethinking of how artificial intelligence should be governed. Challenging the dominance of tech elites in shaping AI's future, Zimmermann argues that AI deployment is a political act-one that must be subject to democratic control. They propose a practical "playbook" for reclaiming agenda-setting power through civic participation, public ownership, and institutional reform. Engaging with leading critics, Zimmermann defends a risk-sensitive proceduralist approach…Read more
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Don’t Give Up on Democratizing AI for the Wrong ReasonsAdvances in Neural Information Processing Systems 38 (Neurips 2025) 38. 2025.The claim that the AI community, or society at large, should ‘democratize AI’ has attracted considerable critical attention and controversy. Two core problems have arisen and remain unsolved: conceptual disagreement persists about what democratizing AI means; normative disagreement persists over whether democratizing AI is ethically and politically desirable. We identify eight common AI democratization traps: democratization-skeptical arguments that seem plausible at first glance, but turn out t…Read more
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179Distinguishing two features of accountability for AI technologiesNature Machine Intelligence 4. 2022.Policymakers and researchers consistently call for greater human accountability for AI technologies. We should be clear about two distinct features of accountability.
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1250Proceed with CautionCanadian Journal of Philosophy (1): 6-25. 2021.It is becoming more common that the decision-makers in private and public institutions are predictive algorithmic systems, not humans. This article argues that relying on algorithmic systems is procedurally unjust in contexts involving background conditions of structural injustice. Under such nonideal conditions, algorithmic systems, if left to their own devices, cannot meet a necessary condition of procedural justice, because they fail to provide a sufficiently nuanced model of which cases coun…Read more
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1028Economic Participation Rights and the All-Affected PrincipleGlobal Justice: Theory Practice Rhetoric 10 (2): 1-21. 2017.The democratic boundary problem raises the question of who has democratic participation rights in a given polity and why. One possible solution to this problem is the all-affected principle, according to which a polity ought to enfranchise all persons whose interests are affected by the polity’s decisions in a morally significant way. While AAP offers a plausible principle of democratic enfranchisement, its supporters have so far not paid sufficient attention to economic participation rights. I …Read more
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154Criminal Disenfranchisement and the Concept of Political WrongdoingPhilosophy and Public Affairs 47 (4): 378-411. 2019.Disagreement persists about when, if at all, disenfranchisement is a fitting response to criminal wrongdoing of type X. Positive retributivists endorse a permissive view of fittingness: on this view, disenfranchising a remarkably wide range of morally serious criminal wrongdoers is justified. But defining fittingness in the context of criminal disenfranchisement in such broad terms is implausible, since many crimes sanctioned via disenfranchisement have little to do with democratic participation…Read more
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82Democratic Enfranchisement Beyond Citizenship: The All-Affected Principle in Theory and PracticeDissertation, Oxford University. 2018.This dissertation develops and defends four interconnected arguments about the All-Affected Principle (AAP): the view that every person whose morally weighty interests are affected by a democratic decision has the right to participate in that decision. The first part (“Narrow Possibilism about Democratic Enfranchisement”) examines how we should distribute democratic participation rights: a plausible version of AAP must avoid treating unlike cases alike, which would be procedurally unfair. The so…Read more
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Harvard UniversityHarvard Kennedy School, Carr Center for Human Rights PolicyTechnology & Human Rights Fellow
Madison, Wisconsin, United States of America