Research
Interdependent conditions for successful human–AI delegation
Trends in Cognitive Sciences · By Felipe M. Affonso & Mark Steyvers ·
The Brief
- People increasingly rely on AI systems for consequential tasks, including clinical diagnosis and software development.
- The gains from AI delegation are real but difficult to realize reliably.
- The authors identify four psychological and structural conditions for successful human–AI delegation, including accurate human assessment of AI capabilities.
Why it matters
Readers who use or oversee AI for high-stakes work can use these conditions to judge when delegating to AI is likely to pay off and when it is likely to fail.
Who’s affected
- cognitive scientists studying human–AI interaction
- professionals who delegate consequential tasks to AI, such as clinicians and software developers
- #human-ai delegation
- #cognitive science
- #ai adoption
- #decision-making
People increasingly rely on AI systems for consequential tasks, from clinical diagnosis to software development. The gains are real yet difficult to realize reliably. We identify four psychological and structural conditions for successful delegation: accurate human assessment of…
Timeline
Article published in Trends in Cognitive Sciences
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Interdependent conditions for successful human–AI delegation