Doctoral Thesis: Paths to AI Accountability: Making AI Fit for Humans Through Design, Incentives, and Evidence

By: Sarah H. Cen

Thesis Supervisors: Aleksander Madry and Devavrat Shah

Details

• Date: Friday, August 2
• Time: 1:30 pm - 3:00 pm
• Category: Thesis Defense
• Location: Kiva Room (32-G449)

Additional Location Details:

Abstract: Artificial Intelligence (AI) has gained increasing sociopolitical significance over the past decade. In response, there are efforts devoted to understanding the implications of AI’s progress and developing AI in a way that is “responsible,” “ethical,” and “safe.” Within this broader context, this thesis studies how we can better integrate AI into a fundamentally human society. We focus on three particular avenues for making AI “fit” for humans. First, we examine ways to design responsible AI from the ground-up through a work on algorithmic fairness. Second, we explore the role of incentives in better aligning humans and algorithms through a game-theoretic model of trustworthy AI. Finally, we discuss the power of evidence in AI accountability through the lens of algorithmic auditing.

Zoom link: https://mit.zoom.us/j/99782927661

Host

• Sarah Cen
• Email: Shcen@mit.edu