Lee
Elkin

Assistant Lecturer
The University of Hong Kong

education

PhD
MCMP, LMU Munich
MA
University of Calgary
BA
University of Pittsburgh

about

I'm a philosopher working on AI, decision theory, epistemology, ethics, and the philosophy of cognitive science.

Much of my research asks how to reason under disagreement and uncertainty. Specifically, how to pool the judgments of many people, or many models, into a single view, and what pragmatic commitments that view carries.

Before joining HKU, I held postdoctoral positions at The Alan Turing Institute, Erasmus University Rotterdam, Jagiellonian University, and the University of Paris.

research

Book

  1. 2025 Opinion pooling

    Cambridge University Press · with Richard Pettigrew

Articles

  1. forthcoming Fair group opinions are imprecise

    Episteme

  2. forthcoming Diving into fair pools: algorithmic fairness, ensemble forecasting, and the wisdom of crowds

    Analysis · with Rush Stewart

  3. 2024 Normative uncertainty meets voting theory

    Synthese 203, 191–205

  4. 2023 The precautionary principle and expert disagreement

    Erkenntnis 88, 2717–2726

  5. 2022 Too rational: how predictive coding's success risks harming the mentally disordered and ill

    Journal of NeuroPhilosophy 1, 41–48 · with Karolina Wiśniowska

  6. 2021 Regret averse opinion aggregation

    Ergo 8, 473–495

  7. 2021 Being realist about Bayes, and the predictive processing theory of mind

    The British Journal for the Philosophy of Science 72, 185–220 · with Matteo Colombo and Stephan Hartmann

  8. 2018 Resolving peer disagreements through imprecise probabilities

    Noûs 52, 260–278 · with Gregory Wheeler

  9. 2015 An epistemically modest response to disagreement, AGM-ified

    The Reasoner 9, 76–77

Lee Elkin · 2026 · The University of Hong Kong