Designing Decision Rights for AI

Om kurset

Ina Sebastian reads MIT CISR's June 2026 research briefing, which she co-authored with Peter Weill, Thomas Haskamp, and Jan vom Brocke. See the text version and related content at https://cisr.mit.edu/publication/2026_0601_AIDecisionMatrix_SebastianWeillHaskampVomBrocke. Abstract: One of the biggest challenges companies face today is designing decision rights between humans and AI. For example, should AI be used in hiring, and if so, for which tasks? Should AI run marketing campaigns end to end, or augment human judgment? We identified two key dimensions—ambiguity and risk—that help determine how humans and AI that can complete tasks autonomously should share decisions. By mapping decisions across these dimensions, companies make explicit what stakes they’re willing to accept and who bears the consequences. As business decisions vary in ambiguity and risk, leaders need to adjust how AI participates in three activities: framing decisions, acting on them, and learning from the outcomes.