Alice Huang
Assistant Professor
AI Ethics, Formal Social Epistemology, Decision Theory, Philosophy of Science, Philosophy of Mind
New York University, Abu Dhabi, UAE; Ph.D. University of Toronto
E-mail: alice.huang@uwo.ca
Website: https://alicecwhuang.github.io/
My research is primarily in the ethics of machine learning, social formal epistemology and social philosophy of science. My projects fall into two broad categories. The first kind of project critically engages with formal results in artificial intelligence research. I think about how we should interpret different trade-offs found in machine learning and how we can make moral advice implementable and relevant for practitioners. The second kind of project uses formal and computational models to investigate pressing issues in our social discourse today, such as questions about misinformation, fairness, and polarization.
Recent Publications
Landscapes and bandits: A unified model of functional and demographic diversity. Philosophy of Science (forthcoming)
Track records: A cautionary tale. The British Journal for the Philosophy of Science (forthcoming)
A normative comparison of threshold views through computer simulations. Synthese 200, 4 (2022), 1–23
