AI shares with earlier socially transformative technologies a reliance on limiting models of the “human” that embed racialized metrics for human achievement, expression, and progress. Many of these fundamental mindsets about what constitutes humanity have become institutionally codified, continuing to mushroom in design practices and research development of devices, applications, and platforms despite the best efforts of many well-intentioned technologists, scholars, policy-makers, and industries.
Michele Elam, Professor at Stanford, will explore why and how AI can be much more deeply integrated with the humanities and arts in the interest of equity and social justice, with the understanding that creativity > innovation. Elam will offer specific case studies of how AI artist-technologists of color represent race, ethnicity, gender and ability not as normative self-evident categories or monetizable data points, but rather in terms of racial formation: dynamic social processes always indexing political tensions and interests.
The event will be on Nov. 3 at Harper Center, Room 219 from 5-6pm.
Discussion
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