Upcoming
Symposium.
October 19, 2022. “Taking Stock of AI Ethics: Where are We? What Should We Hope For?” Department of Philosophy, McGill University.
Symposium.
October 20-21, 2022. Workshop: “The Ethics of Artificial Intelligence, University of Notre Dame Technology Ethics Center. Rome.
Research talk.
October 27, 2022. Holtz Center for Science & Technology Studies, University of Wisconsin-Madison.
Research talk.
November 3, 2022. Philosophy & AI seminar series, University of Oslo [online].
Lecture: “AI and Compounding Wrongs”.
[Postponed to 2022 due to the COVID-19 pandemic.] Dartmouth College.
Keynote lectures
2020: Keynote lecture: research workshop “Machine Learning: Prediction without Explanation?”
Karlsruhe Institute of Technology (KIT) [via Skype] (Feb 17, 2020).
2019: “Fairness and Artificial Intelligence”.
Dinner keynote conversation with Joaquin Quiñonero Candela (Director of Engineering for Applied Machine Learning, Facebook). Partnership on AI, All Partners Meeting, London (Sep 26-27, 2019).
2019: Keynote Lecture: “Good Models Need Doubt: From Ingenious Devices to Inscrutable Choices?”
Humboldt University of Berlin (Sep 23, 2019).
Recent Talks
a selection of invited talks and peer-reviewed conference presentations
2021: Colloquium talk.
"Stereotyping and Medical AI" colloquium series, Sowerby Philosophy and Medicine Project, King's College London (July 15, 2021).
2021: Lecture: “Large Language Models: Key Ethical Risks”.
Expert consultation on GPT-3 and computational linguistics at the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt) & Federal Ministry for Economic Affairs and Energy (Bundesministerium für Wirtschaft und Energie) (May 27, 2021).
2021: Colloquium talk.
University of York (Feb 23, 2021).
2021: Colloquium talk.
University of Manchester (Feb 17, 2021).
2021: Research Talk
Theory of Computing for Fairness research group, Simons Collaboration on the Theory of Algorithmic Fairness (Jan 20, 2021).
2020: Lecture: “The Algorithmic is Political”, Women in Philosophy series.
Lecture series at the University of Bayreuth (Nov 10, 2020).
2020: Lecture: The Ethics and Politics of AI.
Responsible AI research team, Google AI (Oct 29, 2020).
2020: Invited Comments: Undoing Discriminatory Borders—Spotlight on Algorithmic Decision-Making.
Research workshop, University of Oxford (Oct 27, 2020).
2020: Colloquium Talk: “AI and Exploitative Optimization”.
University of Cambridge (Oct 23, 2020).
2020: GPT3, Language Understanding, and Effects of Widespread Use.
Oct 14, 2020. Research workshop, Stanford Institute for Human-Centered Artificial Intelligence (HAI), Stanford University.
2020: “AI Ethics is About Justice and Power”.
Lecture. UNESCO, Bangkok Regional Bureau. Part of the global consultation on the Draft Recommendation on the Ethics of AI. August 8, 2020.
2020: “Algorithmic Fairness and Decision Landscapes.”
Research workshop: “Algorithmic Ethics,” University of Rochester (May 1, 2020).
2020: "Normativity and Choice in Algorithmic Systems."
Research workshop: "Models of Morality, Morality of Models", Carnegie Mellon University. [via Zoom] (Mar 6, 2020).
2020:"Information Isn't Everything."
Research workshop: "Cyber Harassment: Asymmetric Relations, Injustice, and Freedom of Speech", London School of Economics [via Zoom] (Feb 20-21, 2020).
2020: "Algorithmic Injustice."
McCoy Center for Ethics in Society (Jan 16, 2020), Stanford University.
2020: "Compounding Wrongs in Sequential Decisions."
Eastern APA (American Philosophical Association), panel: "Philosophical Approaches to Data Justice" (Jan 10, 2020), APA Committee on Philosophy and Computers.
2019: "Opacity, Explainability, and Justification in Machine Learning."
NYU Bioethics Colloquium (Dec 6, 2019), New York University.
2019: "Compounding Wrongs in Sequential Decisions."
2019: "The Algorithmic Is Political."
2019: "Algorithmic Injustice Beyond Discriminatory Harm".
Center for Ethics, Law, and Public Affairs (CELPA) seminar, University of Warwick (Oct 8, 2019).
2019: "Opacity, Explainability, and Justification in Machine Learning".
Lunch seminar, Leverhulme Centre for the Future of Intelligence, University of Cambridge (Oct 7, 2019).
2019: "Algorithmic Decision-Making in Criminal Justice".
Law and Justice Forum: AI and the Law. YTL Centre for Politics Philosophy and Law, King's College London (Oct 4, 2019).
2019: "Algorithmic Injustice Beyond Discriminatory Harm".
KJuris (King's Legal Philosophy Workshop), King's College London (Oct 3, 2019).
2019: "Compounding Wrongs in Sequential Decisions."
2019: "Algorithmic Injustice Beyond Discriminatory Harm".
Braga Meetings on Ethics and Political Philosophy, University of Minho.
2019: "Algorithmic Injustice Beyond Discriminatory Harm".
Decisions, Games & Logic workshop, California Institute of Technology.
2019: "What, If Anything, is Wrong with Automation?"
Center for Information Technology Policy. Princeton University.
2019: "Algorithmic Injustice Beyond Discrimination".
London School of Economics, Choice Group.
2018: "Algorithmic Unfairness: What It Is and How to Fight it. Perspectives from Philosophy and Computer Science".
Partnership on Artificial Intelligence, All Partners Meeting 2018, San Francisco.
2018: "Limits of AI in Public Service".
Joint workshop of the Center for Information Technology (Princeton University) and DeepMind.
2018: "Risk and Democracy in an Age of Algorithmic Injustice".
Research colloquium of the Normative Theory Group, University of Hamburg.
2017: “Non-Citizen Disenfranchisement as a Democratic Legitimacy Deficit.”
Panel: Undocumented Migration and Immigrant Rights in the United States, Annual conference of the American Political Science Association (APSA), San Francisco.
2017: Roundtable speaker, "The Historical Rawls".
Conference organised with Teresa Bejan and Sophie Smith, University of Oxford.
2017: “Prisoner Disenfranchisement and Democratic Theory.”
Nuffield Political Theory Workshop, Oxford.
2016: “Risk-sensitive Democratic Enfranchisement.”
Justice and Risk workshop, Nuffield College, Oxford.
2015: “The Argument from Affected Interests.”
Nuffield Political Theory Workshop, Oxford.
2015: “Political Participation and the Argument from Affected Interests.”
Jurisprudence Discussion Group, Law Faculty, Oxford.
Research Workshop
“The Ethics of Algorithmic Decision-Making in Democratic Institutions”
On November 22-23, 2019, I organized a research workshop at the University Center for Human Values at Princeton University, as part of my ongoing research project The Algorithmic is Political. Some of the contributions to this workshop will be published soon—stay tuned for updates.
Workshop research questions
Does algorithmic decision-making raise any new problems for democratic theory? Does algorithmic decision-making affect democratic values in any unique way? If so, how? Is algorithmic bias a technological or a political problem? How should democratic states respond to this problem? Are existing philosophical accounts of the wrongness of discrimination sufficient for understanding the problem of algorithmic bias? Under which conditions does algorithmic decision-making lead to substantively unjust outcomes which exacerbate conditions of structural injustice? Who is morally responsible for the harmful effects of algorithmic decision-making, including unintended effects? Should democratic institutions stop relying on tools provided by private corporations? How (if at all) does algorithmic decision-making impinge on democratic accountability? Is algorithmic opacity always bad? Is algorithmic transparency always good? Is there a right to explanation, and what are its normative foundations? Do we need new democratic procedures and institutions in order to tackle problems related to algorithmic decision-making?