Institute for Human-Centered Artificial Intelligence (HAI)
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Sr Research Scholar
BioDr. Edward N. Zalta is a Senior Research Scholar at the Center for the Study of Language and Information at Stanford University. He obtained an honors B.A. from Rice University in 1975, and a Ph.D. in Philosophy from the University of Massachusetts/Amherst in 1981. His research specialties include metaphysics/ontology, philosophy of mathematics, computational metaphysics, philosophical and philosophy of logic, and intensional logic, among others. Zalta has published two books (*Abstract Objects: An Introduction to Axiomatic Metaphysics*, D. Reidel, 1983; and *Intensional Logic and the Metaphysics of Intentionality*, MIT Press, 1988), as well as articles in the Journal of Philosophy, Mind, the Journal of Philosophical Logic, Noûs, and elsewhere. He has taught courses and lectured at universities around the world and is the recipient of the K. Jon Barwise Prize (2016, awarded by the American Philosophical Association, Committee on Computing and Philosophy) and the Covey Award (2009, awarded by the International Association for Computing and Philosophy). Zalta also designed the online Stanford Encyclopedia of Philosophy <http://plato.stanford.edu/> and now serves as its Principal Editor. For further information, see <http://mally.stanford.edu/zalta.html>.
Morris Arnold and Nona Jean Cox Senior Fellow at the Hoover Institution, Senior Fellow at the Freeman Spogli Institute for International Studies, and Professor, by courtesy, of Political Science
Current Research and Scholarly InterestsU.S. intelligence, cybersecurity, political risk, grand strategy
Policy Research Manager
BioDaniel Zhang is the policy research manager at the Stanford Institute for Human-Centered Artificial Intelligence (HAI). In this role, he develops and oversees HAI’s policy research programs, including policy briefs, white papers, workshops, and responses to government requests for information. Previously, he was the manager of the AI Index program where he led the development and research for its annual report that measures and evaluates the rapid rate of AI advancement.
Before Stanford, he worked on global AI talent flows and security risks at the Center for Security and Emerging Technology and public education policy at the Riley Institute Center for Education and Leadership. Daniel holds an M.A. in Security Studies from Georgetown University, where he concentrated on technology policy and a B.A. in Politics & International Affairs from Furman University.
Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering
Current Research and Scholarly InterestsMy group works on both foundations of statistical machine learning and applications in biomedicine and healthcare. We develop new technologies that make ML more accountable to humans, more reliable/robust and reveals core scientific insights.
We want our ML to be impactful and beneficial, and as such, we are deeply motivated by transformative applications in biotech and health. We collaborate with and advise many academic and industry groups.