​Title: The Many Faces of Responsible AI

​Abstract

​As AI systems become increasingly common in our everyday lives, it is also increasingly important that we have truly responsible AI. However, we often do not know just what that means, or how to achieve it. What can, and should, we be doing to have more responsible AI? In this talk, Danks will first argue that responsible AI emerges from choices throughout the AI lifecycle; there is no single point or decision that determines whether some AI is responsible. Danks will then provide a series of research case studies into different steps that can be taken at different points, ranging from our initial design choices, to algorithm choice, to model development, to the ways in which we deploy and use AI systems. The core message is that responsible AI requires intelligent, informed choices throughout the AI lifecycle, and we have many tools to support those choices.

​Biography

​David Danks is the University of Utah One-U Responsible AI Initiative's inaugural distinguished visitor. He is a Professor of Data Science, Philosophy, & Policy, and affiliate faculty in Computer Science & Engineering, at University of California San Diego. His research interests range widely across philosophy, cognitive science, and machine learning, including their intersection. Danks has examined the ethical, psychological, and policy issues around AI and robotics across multiple sectors, including transportation, healthcare, privacy, and security. He has also done significant research in computational cognitive science and developed multiple novel causal discovery algorithms for complex types of observational and experimental data. Danks is the recipient of a James S. McDonnell Foundation Scholar Award, as well as an Andrew Carnegie Fellowship. He currently serves on multiple advisory boards, including the National AI Advisory Committee.

​Visit the One-U RAI event page to read more or schedule a one-on-one meeting with Danks.