You can find my Google Scholar profile here.
Academic Articles
1. Resolute and Correlated Bayesians,
Philosophers’ Imprint (2021)
with Anil Gaba, Ilia Tsetlin, and Robert L. Winkler PDF, link
2. On the Epistemic Significance of Noise,
Oxford Studies in Epistemology (Exp 2024)
with Zoe Johnson King PDF
3. The Algorithmic Explainability Bait and Switch,
Minnesota Law Review (Exp 2024)
with I. Glenn Cohen PDF, link
4. Algorithmic Fairness and Resentment,
Philosophical Studies (2023)
with Zoe Johnson King PDF, link
5. How AI Can Learn from the Law,
Nature Digital Medicine (2023)
with I. Glenn Cohen, Sara Gerke, Qiong Xia,
Theodoros Evgeniou and Klaus Werternbroch PDF, link
6. Moral Encroachment Under Moral Uncertainty,
Philosophers’ Imprint (2023)
with Zoe Johnson King PDF, link
7. Comment on Ariel Dora Stern’s Regulation of Medical AI,
The Economics of Artificial Intelligence
edited by Ajay Agrawal, Joshua Gans, and Avi Goldfarb (2023) PDF, link
8. Beware Explanations from AI in Health Care,
Science (2021)
with I. Glenn Cohen, Theodoros Evgeniou and Sara Gerke PDF, link
Media Coverage:
Forbes, Proto (Time Magazine/MGH),
Tencent QQ, The Edge,
China Business News
9. Direct to Consumer Advertising of Medical Machine Learning,
Nature Machine Intelligence (2021)
with I. Glenn Cohen, Theodoros Evgeniou and Sara Gerke PDF, link
10. Normativity, Epistemic Rationality and Noisy Statistical Evidence,
The British Journal for the Philosophy of Science (2021)
with Anil Gaba, Ilia Tsetlin, and Robert L. Winkler PDF, link
11. Approximate Coherentism and Luck,
Philosophy of Science (2021) PDF, link
12. A System View for Medical ML Policy,
Nature Digital Medicine (2020)
with I. Glenn Cohen, Theodoros Evgeniou and Sara Gerke PDF, link
Media Coverage: STAT News
13. Algorithms on Regulatory Lockdown,
Science (2019)
with I. Glenn Cohen, Theodoros Evgeniou and Sara Gerke PDF, link
Media Coverage: Forbes
14. Moral Obligation & Epistemic Risk,
Oxford Studies in Normative Ethics (2020)
with Zoe Johnson King PDF, link
15. A Theory of Epistemic Risk,
Philosophy of Science (2019) PDF, link
Other Writing
16. Explaining Medical AI is Easier Said than Done,
STAT News (2021)
with Sara Gerke link
17. When Machine Learning Goes off the Rails,
Harvard Business Review (2020)
with I. Glenn Cohen, Theodoros Evgeniou, and Sara Gerke link
18. Can AI Decide Who Gets an Organ Transplant?,
Harvard Business Review (2020)
with I. Glenn Cohen, Theodoros Evgeniou, Sara Gerke, and Nikos Trichakis link
19. A Better Way to Onboard AI,
Harvard Business Review (2020)
with Daniel Chen, Theodoros Evgeniou, and Anne-Laure Fayard link
Work in Progress
20. Reframing the Accuracy-Interpretability Tradeoff PDF
21. Justifiable AI: How to Seek Assurance for Large Language Models
22. Managing Failure: How Should we Govern Problems from Medical AI Devices?