2021 Responsible Machine Learning Summit: AI anD Social Good
David Danks, Professor of Data Science & Philosophy, UC San Diego
Trust, AI, and (Societal Values)
Abstract: This talk will focus on the critical role of trust in the development & use of AI for socially beneficial outcomes. I will first present an account of the nature of individual trust (in the context of AI) that reveals the critical role of the trustor’s values. I will then generalize this framework to consider social and societal values, thereby providing an account of what it means for a community or society to trust an AI system. I will show the value of this framework by applying the account to the question of what is required for a whole medical community (not just a single doctor) to trust a diagnostic AI system.
Biosketch: David Danks is Professor of Data Science & Philosophy and affiliate faculty in Computer Science & Engineering at University of California, San Diego. His research interests are at the intersection of philosophy, cognitive science, and machine learning, using ideas, methods, and frameworks from each to advance our understanding of complex, interdisciplinary problems. Danks has examined the ethical, psychological, and policy issues around AI and robotics in transportation, healthcare, privacy, and security. He has also done research in computational cognitive science and algorithms for causal discovery. Danks is the recipient of a James S. McDonnell Foundation Scholar Award, as well as an Andrew Carnegie Fellowship. He received an A.B. in Philosophy from Princeton University, and a Ph.D. in Philosophy from University of California, San Diego.