Responsible AI for Leaders
Lead responsible AI adoption in your organisation. This course equips you with practical frameworks to assess risk, apply ethical principles and translate AI potential into clear, confident strategic decisions.
PhD in Philosophy, MRes in Philosophy, Bachelor of Arts (Hons) in Philosophy
Teaching Associate at the Leverhulme CFI College Research Associate at Clare College
Dr Jack Casey is a teaching associate at the Leverhulme CFI, University of Cambridge, and a College Research Associate at Clare College. A philosopher of science specialising in metaphysics, he researches how machine learning algorithms reshape realist and anti-realist debates, alongside metaphysical dependence.
Lead responsible AI adoption in your organisation. This course equips you with practical frameworks to assess risk, apply ethical principles and translate AI potential into clear, confident strategic decisions.
Casey, J. (2026). Epistemic opacity and scientific realism and anti-realism (opens in a new tab). Philosophy of Science for Machine Learning, 527, 37–52.
Casey, J. (2025). Transworld sport: Formalism and the identification problem (opens in a new tab). Journal of the Philosophy of Sport, 52(3), 533–553.
Casey J. (2022). The unity of dependence (opens in a new tab). Journal of the American Philosophical Association, 8(2), 300–317.