Posts in AI and Power
Fair ML Book Workshop

Brian Hedden of the ANU and Katie Creel of Northeastern University organized a workshop on Fairness and Machine Learning: Limitations and Opportunities on January 23rd at Stanford University. Fairness and Machine Learning is co-authored by Solon Barocas, Moritz Hardt, Arvind Narayanan.

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New Draft: Seth Lazar and Jake Stone 'On the Site of Predictive Justice'

We argue that, as well as more obvious concerns about the downstream effects of ML-based decision-making, there can be moral grounds for the criticism of these predictions themselves. We introduce and defend a theory of predictive justice, according to which differential model performance for systematically disadvantaged groups can be grounds for moral criticism of the model, independently of its downstream effects. As well as helping resolve some urgent disputes around algorithmic fairness, this theory points the way to a novel dimension of epistemic ethics, related to the recently discussed category of doxastic wrong.

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Mala and Solomon Kamm Lecture in Ethics, Harvard University (Video)

Seth Lazar gave the second annual Mala and Solomon Kamm lecture in Ethics, at the Safra Center for Ethics, at Harvard University, on April 7, 2022. This prestigious lecture series was endowed by the brilliant philosopher Frances Kamm, professor at Rutgers University, in honour of her parents. It is a particular honour for Seth to give this lecture, due to the great debt his own work holds to Kamm's pathbreaking research in deontological ethics.

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