• Federated learning, ethics, and the double black box problem in medical AI (with Anders Søgaard, Angela Ballantyne, and Ruben Pauwels). arXiv preprint 2504.20656 (2025) [read]

    • Are clinicians ethically obligated to disclose their use of medical machine learning systems to patients? Journal of Medical Ethics (2025) [read]

      • i discuss this paper with my friend and colleague lauritz munch on his podcast, kunstig etik [listen] and with sam bennett and roberto carlos garcía on their podcast, aitec [listen]

    • Should the use of adaptive machine learning systems be classified as research? (with Robert Sparrow, Justin Oakley, and Chris Bain). The American Journal of Bioethics (2024) [read]

    • Will artificial intelligence replace clinical decision-making within our lifetimes? (with Anne Kinderlerer, Jens Christian Bjerring, Lauritz Munch, and Lynsey Threlfall). Future Healthcare Journal (2024) [read]

    • Data over dialogue: Why artificial intelligence is unlikely to humanise medicine. Monash University, PhD dissertation (2024) [read]

    • Diachronic and synchronic variation in the performance of adaptive machine learning AI systems: The ethical challenges (with Robert Sparrow). Journal of the American Medical Informatics Association (2023) [read]

    • Limits of trust in medical AI. Journal of Medical Ethics (2020) [read]

    • High hopes for ‘Deep Medicine?’ AI, economics, and the future of care (with Robert Sparrow). Hastings Center Report (2020) [read]

    • The promise and perils of AI in medicine (with Robert Sparrow). International Journal of Chinese and Comparative Philosophy of Medicine (2019) [read]

    • Mechanistic interpretability needs philosophy (with Iwan Williams, Ninell Oldenburg, Ruchira Dhar, Constanza Fierro, Nina Rajcic, Sandrine R. Schiller, Filippos Stamatiou, and Anders Søgaard). arXiv pre-print 2506.18852 (2025) [read]

    • A defence of post-hoc explanations in medical AI (with Lauritz Aastrup Munch and Jens Christian Bjerring). Hastings Center Report (2025) [read]

    • A moving target in AI-assisted decision-making: Model updating, dataset shift, and the problem of update opacity. Ethics and Information Technology (2025) [read]

      • i discuss this paper with my colleague sune with tryk christensen on his podcast series, death by algorithm [listen]

    • The virtues of interpretable medical AI (with Robert Sparrow and Mark Howard). Cambridge Quarterly of Healthcare Ethics (2024) [read]

    • Generative AI entails a credit-blame asymmetry (with Sebastian Porsdam Mann, Brian D. Earp, Sven Nyholm, John Danaher, Nikolaj Møller, Hilary Bowman-Smart, Julian Koplin, Monika Plozza, Daniel Rodger, Peter V. Treit, Gregory Renard, John McMillan, and Julian Savulescu). Nature Machine Intelligence (2023) [read]

    • Tailoring university assessment in the age of ChatGPT (with Julian Koplin, Robert Sparrow, Nicola Rivers, and Iwan Williams). Monash Lens (2023) [read]

    • It has become possible to use cutting-edge AI language models to generate convincing high school and undergraduate essays. Here’s why that matters (with Julian Koplin). Practical Ethics in the News (2022) [read]

    • Medically assisted dying for the psychiatrically ill: Reply to Buturovic. Journal of Medical Ethics (2021) [read]

    • Is the exclusion of psychiatric patients from access to physician-assisted suicide discriminatory? Journal of Medical Ethics (2019) [read]

* you can also access my articles (or view my citation metrics, for whatever they’re worth) on google scholar and philpapers and arxiv and researchgate