Posts in Resources
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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National Academies Report Published

Seth Lazar was a co-author on a report by a study committee of the Computer Science and Telecommunications Board of the US National Academies of Science, Engineering and Medicine, Fostering Computing Research: Foundations and Practices. This report was commissioned by the NSF and is to be presented to the US congress.

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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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