The Delegation Blind Spot: Auditing Product Decisions from Agent Choices

arXiv:2609.26642 · cs.AI, cs.LG · Submitted 2026-09-22 · Read on arXiv

cs.AI, cs.LG

Submitted: 2026-09-22

Updated: 2026-09-22

Comments: 15 pages, 5 figures. Computational technical report with proofs and synthetic-task experiments; no human participants. Code: https://github.com/shi1720/delegation-blind-spot

Code: https://github.com/shi1720/delegation-blind-spot

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Calibration — 32× in this paper · explained in 7 episodes
• Regret — 16× in this paper · explained in 3 episodes
• Provenance — 6× in this paper · explained in 3 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Minimax Regret — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• AI Alignment — 1× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Clustering — 1× in this paper · explained in 2 episodes
• Elias — 1× in this paper · explained in 2 episodes
• Empirical Coverage — 1× in this paper · explained in 2 episodes
• Inverse Problem — 1× in this paper · explained in 2 episodes
• Post-Selection — 1× in this paper · explained in 2 episodes

Sources

• Prediction-Powered Inference
• A Revealed Preference Framework for AI Alignment
• Choice via AI

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