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Designing Human-AI Systems for Creativity and Beyond: David Danks
January 18 @ 4:00 pm - 5:00 pm
*This talk is hybrid (in-person & remote). Capacity is limited. Please register ahead of time.
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 (he/him) 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
Imagine a computer that could finish your sentences, or compose music that sounds as if you wrote it, or dance with your moves or solve a problem by creating hundreds of lines of code – leaving you to focus on a task that is even harder, augmenting your creative ability and pushing you to reach your creative potential. In a sense, that computer is merely the descendant of the power looms or the steam engine of the Industrial Revolution. But it also belongs to a new class of machine, because it grasps the symbols in language, music and programming and uses them in a way that seems creative, seems human. These “Generative AI” models represent a breakthrough in artificial intelligence, creativity and design.
This speaker series 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.