Delegation and Verification Under AI
As AI systems enter institutional workflows, workers must decide whether to delegate task execution to AI and how much effort to invest in verifying AI outputs, while institutions evaluate workers using outcome-based standards that may misalign with workers' private costs. We model delegation and verification as the solution to a rational worker's optimization problem, and define worker quality by evaluating an institution-centered utility (distinct from the worker's objective) at the resulting optimal action. We formally characterize optimal worker workflows and show that AI induces *phase transitions*, where arbitrarily small differences in verification ability lead to sharply different...
| Authors | Lingxiao Huang, Wenyang Xiao, Nisheeth K. Vishnoi |
|---|---|
| Primary category | cs.GT |
| Published | 3 March 2026 |
| Last updated at source | 25 June 2026 |
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