Institute for Human-Centered Artificial Intelligence (HAI)

Showing 181-185 of 185 Results

  • Greg Zaharchuk

    Greg Zaharchuk

    Professor of Radiology (Neuroimaging and Neurointervention)
    On Partial Leave from 05/04/2023 To 06/03/2023

    Current Research and Scholarly InterestsImproving medical image quality using deep learning artificial intelligence
    Imaging of cerebral hemodynamics with MRI and CT
    Noninvasive oxygenation measurement with MRI
    Clinical imaging of cerebrovascular disease
    Imaging of cervical artery dissection
    MR/PET in Neuroradiology
    Resting-state fMRI for perfusion imaging and stroke

  • Edward Zalta

    Edward Zalta

    Sr Res 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>.

    • Other Names:
      Ed Zalta
  • Amy Zegart

    Amy Zegart

    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

  • Daniel Zhang

    Daniel Zhang

    Social Science Research Scholar, Institute for Human-Centered Artificial Intelligence (HAI)

    BioDaniel Zhang is the senior manager for policy initiatives at the Stanford Institute for Human-Centered Artificial Intelligence (HAI) where he leads the Institute's policy research, outreach, and education initiatives. With the goal of developing evidence-based AI policy recommendations, his research interests lie at the intersection of technology policy, governance, and societal impact, including translational and original research on AI regulation and standards, the geopolitical implication of emerging technology, and the governance of large-scale ML models.

    Daniel is also a member of the High-Level Expert Group on AI Ethics at UNESCO, advising the agency on the implementation of its Recommendation on the Ethics of AI. Previously, he was the manager of the AI Index where he lead-authored the 2021 and 2022 annual reports that measure and evaluate 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 a Master's in Security Studies from Georgetown University's Walsh School of Foreign Service, where he concentrated on technology policy, and a Bachelor's from Furman University.

  • James Zou

    James Zou

    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.