Don Fallis
(he/him/his)
Professor, Interdisciplinary with College of Social Sciences and Humanities
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Research interests
- Epistemology
- Philosophy of information
- Philosophy of mathematics
Education
- PhD in Philosophy, University of California, Irvine
- MA in Philosophy, University of California, Irvine
- BA in Philosophy, University of California, Irvine
- BA in Psychology, University of California, Irvine
Biography
Don Fallis is a professor in the Khoury College of Computer Sciences at Northeastern University, based in Boston. He is jointly appointed with the College of Social Sciences and Humanities.
Fallis’ main focus is adversarial epistemology, where he examines how individuals obtain knowledge in a deceptive world while understanding different types of lies and disinformation. He regularly teaches courses on decision-making, information economics, information ethics, information quality, and knowledge in the digital world.
Before joining Northeastern University, Fallis was a professor in the School of Information at the University of Arizona. He has also held visiting fellowships at the University of St. Andrews and the University of Utah. His articles on lying and deception have appeared in the Journal of Philosophy, Philosophical Studies, and the Australasian Journal of Philosophy. He has also been featured on Philosophy TV, where he discussed the standard analysis of lying and the intention to deceive. He is on the organizing committee of the Information Ethics Roundtable and is an associate editor for Episteme: A Journal of Individual and Social Epistemology.
Recent publications
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The Epistemic Threat of Deepfakes
Citation: Fallis, D. (2020). The Epistemic Threat of Deepfakes. Philosophy & Technology. https://doi.org/10.1007/s13347-020-00419-2 -
Fake News is Counterfeit News
Citation: Fallis, D. & Mathiesen, K. (2019) Fake News is Counterfeit News. Inquiry. doi:10.1080/0020174X.2019.1688179 -
Accuracy, Conditionalization, and Probabilism
Citation: Lewis, P. J., & Fallis, D. (2021). Accuracy, conditionalization, and probabilism. Synthese, 198(5), 4017-4033. https://doi.org/10.1007/s11229-019-02298-3