About Translational ethics for responsible AI

As algorithmic systems spread throughout every aspect of society, there are corresponding calls to ensure that our AI systems are responsible, trustworthy, or some other ethical value. Much of the recent research on responsible AI has focused on (sets of) principles, but those provide relatively little guidance about how to actually create responsible AI systems. In this talk, David Danks will argue that we need research programs in “translational ethics” that integrate insights from a range of disciplines, including ethics, sociology, cognitive science, design and more. David Danks will provide multiple examples of translational ethics, including the processes, scaffolding, and organizational mechanisms that can lead to more responsible AI.

About the Speaker

David Danks is Professor of Data Science & Philosophy 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 in 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.

About Designing Human-AI Systems for Creativity and Beyond

Designing Human-AI Systems for Creativity and Beyond invites you to engage in the promise and perils of the next big thing in machine intelligence. We invite speakers from the worlds of art, design, technology and policy to discuss these impressive new capabilities, its limitations and how we, as designers and students, could harness it to reach new heights in art, music, dance, architecture, fashion, creative writing and programming.