Designing Decision Rights for AI
Name
2026_0601_AIDecisionMatrix_SebastianWeillHaskampVomBrocke.pdf
Size
490.93 KB
Format
Adobe PDF
Checksum (MD5)
5dc3fb7c6e5a38b389b373f29e3dcfbb
Author(s)
Sebastian, Ina M.
Weill, Peter
Haskamp, Thomas
vom Brocke, Jan
Date Issued
June 18, 2026
Publisher
Cambridge, Mass.: Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology
Citation
Sebastian, Ina M., Peter Weill, Thomas Haskamp, and Jan vom Brocke. “Designing Decision Rights for AI.” MIT CISR Research Briefing Volume XXVI, no. 6 (June 2026). https://dspace.mit.edu/handle/1721.1/175016.
Series/Report no.
MIT CISR Research Briefing, Vol. XXVI, No. 6
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.
Subjects
Business Models
Future Ready/Pathways
Decision Rights/Governance
CxO Leadership
Terms of Use
CC BY-NC 4.0 (Attribution-NonCommercial 4.0 International)
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