In light of rhetorical and technical shifts around ideas of ‘Human-centered AI,' this workshop explores the notion of the ‘human’ deployed in that thinking. While AI, in the AI-human dyad, has garnered a great deal of public attention, this workshop highlights the human, organized around three themes: 1) human-in-the-loop; 2) human-AI complementarity; and 3) machine-readable humans. For each theme, we plan to explore the work done by, as well as the ethical stakes of, the account of the human in its relationship to AI.
Beyond buzzwords of responsible and ethical AI, it addresses the fate of diverse human ends in its wake and potential impacts on the quality of life of individuals, and the values of groups and societal institutions. Finally, the workshop addresses foundational questions about conceptions of humanity embedded within and assumed by systems that deploy AI -- human-centered or otherwise.
The workshop invites researchers from a range of disciplines, including law, social sciences, computer science and the humanities.
Andreea Bobu (UC Berkeley), Sarah Cen (Massachusetts Institute of Technology), Yuchen Cui (Stanford University), Thomas Gilbert (Cornell Tech), Jake Goldenfein (University of Melbourne), Alison Gopnik (UC Berkeley), Ben Green (Univ of Michigan), Peter Hershock (East-West Center), Bernard Keenan (Birkbeck Law School, UK), Mina Lee (Stanford University), Lee McGuigan (Unc), Helen Nissenbaum (Cornell Tech), Connal Parsley (University of Kentucky), Thao Phan (Monash University), Megha Srivastava (Stanford University), Qian Yang (Cornell University)