AI for Good Isn't Good Enough with James Landay

“AI for Good” initiatives recognize the potential impacts of AI systems on humans and societies. However, simply recognizing these impacts is not enough. To be truly Human-Centered, AI development must be user-centered, community-centered, and societally-centered. Successful Human-Centered AI requires the early engagement of multidisciplinary teams beyond technologists, including experts in design, the social sciences and humanities, and domains of interest such as medicine or law, as well as community members. In this talk, Professor Landay will elaborate his argument for an authentic Human-Centered AI.
James Landay, professor of computer science and Anand Rajaraman and Venky Harinarayan Professor in the School of Engineering, vice-director and faculty director of research at the Institute for Human-Centered Artificial Intelligence

[@oliviapuerta1470]

I find the purportedly inspiring vision of the "office of the future" described here unsettling. Employers tracking employees' emotional states and piping in nature images in times of increased stress sounds like something straight out of dystopian science fiction. Perhaps we should simply strive to have office environments that have good light, pleasing aesthetics, and minimal sound pollution at all times.