Summary
The range of users of artificial intelligence (AI) systems has vastly broadened in recent years, and decisions made with the help of AI are now affecting almost everyone. Naturally, the individuals have different preferences over how the AI should behave, which poses new challenges because traditional approaches for developing and deploying AI assume that users have the same preferences. This project builds a theoretical understanding of the blind spots of current AI development and deployment pipelines by studying, for example, when disagreements can make the AI system adopt an unbalanced pos
