HKU IDS Scholar
Professor Boris BABIC
Associate Professor (by courtesy) Faculty of Law, HKU
About Me
Professor Boris Babic is HKU-100 Associate Professor at the University of Hong Kong, jointly appointed in the Musketeers Foundation Institute of Data Science, the Department of Philosophy, and (by courtesy) the Faculty of Law, from Fall 2023.Ā HeĀ alsoĀ serves as anĀ occasional visiting professor in the Decision Sciences department atĀ INSEAD.Ā
Professor Babic received a JD, cum laude, fromĀ Harvard Law School, an MS inĀ StatisticsĀ and a PhD inĀ Philosophy, from the University of Michigan, Ann Arbor. He also practiced law atĀ Quinn Emanuel Urquhart & Sullivan, LLPĀ in Los Angeles, USA. He completed his postdoctoral fellowship at theĀ California Institute of Technology (Caltech).
Professor Babicās primary research interests are in Bayesian inference and decision-making, ethics, law, and policy of artificial intelligence and machine learning, especially in medical applications. His research has been published extensively in leading journals such asĀ Science,Ā Nature Machine Intelligence,Ā Nature Digital Medicine, and theĀ Harvard Business Review.Ā
Professor BabicĀ will be on leave fromĀ theĀ University of Toronto, whereĀ he isĀ Assistant Professor in theĀ Department of StatisticsĀ and theĀ Department of PhilosophyĀ and a faculty fellow of theĀ Schwartz Reisman Institute for Technology & Society.
Selected Publications
- Boris Babic, and I. Glenn Cohen. āThe Algorithmic Explainability Bait and Switchā,Ā Minnesota Law Review. ViewĀ PDFĀ (2023)
- Boris Babic, and Zoe Johnson King. āAlgorithmic Fairness and Resentmentā,Ā Philosophical Studies. ViewĀ PDF. (2023)
- I. Glenn Cohen,Ā Boris Babic, Sara Gerke, Qiong Xia, Theodoros Evgeniou, and Klaus Wertenbroch. āAppealing AIā,Ā Nature Digital Medicine. ViewĀ PDF. (2023)
- Boris Babic, and Zoe Johnson King. āMoral Encroachment Under Moral Uncertaintyā,Ā Philosophersā Imprint.Ā ViewĀ PDF. (2023)
- Boris BabicĀ (edited by Ajay Agrawal, Joshua Gans, and Avi Goldfarb). āComment on Ariel Dora Sternās Regulation of Medical AIā,Ā The Economics of Artificial Intelligence. ViewĀ PDF.Ā (2023)
- Boris Babic, I. Glenn Cohen, Theodoros Evgeniou and Sara GerkeĀ Beware. āExplanations from AI in Health Careā,Ā Science.Ā https://www.science.org/doi/10.1126/science.abg1834Ā (2021)
- Boris Babic, I. Glenn Cohen, Theodoros Evgeniou and Sara Gerke. āDirect-to-Consumer Advertising of Medical Machine Learningā,Ā Nature Machine Intelligence.Ā https://doi.org/10.1038/s42256-021-00331-0Ā (2021)
- Boris Babic, Anil Gaba, Ilia Tsetlin, and Robert L. Winkler. āNormativity, Epistemic Rationality and Noisy Statistical Evidenceā,Ā The British Journal for the Philosophy of Science.Ā https://www.journals.uchicago.edu/doi/10.1086/715196Ā (2021)
- Boris Babic. āApproximate Coherentism and Luckā,Ā Philosophy of Science.Ā https://doi.org/10.1086/713905Ā (2021)
- Boris Babic, I. Glenn Cohen, Theodoros Evgeniou, and Sara Gerke. āA System View for Medical ML Policyā,Ā Nature Digital Medicine.Ā https://doi.org/10.1038/s41746-020-0262-2Ā (2020)
Research Interests
Award
Seminar
Workshop
Department of Philosophy, HKU
Faculty of Law, HKU
babic @ hku.hk
P302C, Graduate House, HKU
Ā Department of PhilosophyĀ
Professor Boris Babic is HKU-100 Associate Professor at the University of Hong Kong, jointly appointed in the Musketeers Foundation Institute of Data Science, the Department of Philosophy, and (by courtesy) the Faculty of Law, from Fall 2023. He also serves as an occasional visiting professor in the Decision Sciences department atĀ INSEAD.Ā
Professor Babic received a JD, cum laude, from Harvard Law School, an MS inĀ StatisticsĀ and a PhD inĀ Philosophy, from the University of Michigan, Ann Arbor. He also practiced law at Quinn Emanuel Urquhart & Sullivan, LLP in Los Angeles, USA. He completed his postdoctoral fellowship at the California Institute of Technology (Caltech).
Professor Babicās primary research interests are in Bayesian inference and decision-making, ethics, law, and policy of artificial intelligence and machine learning, especially in medical applications. His research has been published extensively in leading journals such as Science,Ā Nature Machine Intelligence,Ā Nature Digital Medicine, and theĀ Harvard Business Review.Ā
Professor Babic will be on leave from theĀ University of Toronto, where he is Assistant Professor in theĀ Department of StatisticsĀ and theĀ Department of PhilosophyĀ and a faculty fellow of theĀ Schwartz Reisman Institute for Technology & Society.
- Boris Babic, and I. Glenn Cohen. āThe Algorithmic Explainability Bait and Switchā, Minnesota Law Review. View PDF (2023)
- Boris Babic, and Zoe Johnson King. āAlgorithmic Fairness and Resentmentā, Philosophical Studies. View PDF. (2023)
- I. Glenn Cohen, Boris Babic, Sara Gerke, Qiong Xia, Theodoros Evgeniou, and Klaus Wertenbroch. āAppealing AIā, Nature Digital Medicine. View PDF. (2023)
- Boris Babic, and Zoe Johnson King. āMoral Encroachment Under Moral Uncertaintyā, Philosophersā Imprint. View PDF. (2023)Ā Ā
- Boris Babic (edited by Ajay Agrawal, Joshua Gans, and Avi Goldfarb). āComment on Ariel Dora Sternās Regulation of Medical AIā, The Economics of Artificial Intelligence. View PDF.Ā (2023)Ā
- Boris Babic, I. Glenn Cohen, Theodoros Evgeniou and Sara GerkeĀ Beware. āExplanations from AI in Health Careā, Science. https://www.science.org/doi/10.1126/science.abg1834 (2021)
- Boris Babic, I. Glenn Cohen, Theodoros Evgeniou and Sara Gerke. āDirect-to-Consumer Advertising of Medical Machine Learningā, Nature Machine Intelligence. https://doi.org/10.1038/s42256-021-00331-0 (2021)
- Boris Babic, Anil Gaba, Ilia Tsetlin, and Robert L. Winkler. āNormativity, Epistemic Rationality and Noisy Statistical Evidenceā, The British Journal for the Philosophy of Science. https://www.journals.uchicago.edu/doi/10.1086/715196 (2021)
- Boris Babic. āApproximate Coherentism and Luckā, Philosophy of Science. https://doi.org/10.1086/713905 (2021)Ā
- Boris Babic, I. Glenn Cohen, Theodoros Evgeniou, and Sara Gerke. āA System View for Medical ML Policyā, Nature Digital Medicine. https://doi.org/10.1038/s41746-020-0262-2 (2020)
Bayesian Statistics; Ethics, Law and Policy of AI and Machine Learning; Decision & Game Theory; Legal Theory
