When Should Humans Step In? Optimal Human Dispatching in AI-Assisted Decisions

arXiv:2603.13688 · stat.ML, cs.LG, stat.AP · Submitted 2026-03-14 · Read on arXiv

stat.ML, cs.LG, stat.AP

Submitted: 2026-03-14

Updated: 2026-09-26

Terminology

• Reward Function — 16× in this paper · explained in 2 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Accuracy — 5× in this paper · explained in 1 episode
• Adaptive Selection — 4× in this paper · explained in 1 episode
• Robustness — 4× in this paper · explained in 5 episodes
• Abstraction — 3× in this paper · explained in 1 episode
• Failure Modes — 3× in this paper · explained in 3 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Curse of Dimensionality — 2× in this paper · explained in 6 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Provenance — 2× in this paper · explained in 4 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Accountability — 1× in this paper · explained in 2 episodes
• Active Learning — 1× in this paper · explained in 6 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Combinatorial Optimization — 1× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Information Leakage — 1× in this paper · explained in 2 episodes
• LLM judge — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Resource Constraints — 1× in this paper · explained in 3 episodes
• Sycophancy — 1× in this paper · explained in 4 episodes

Sources

• Best Arm Identification with LLM Judges and Limited Human
• A Survey on Active Feature Acquisition Strategies
• SycEval: Evaluating LLM Sycophancy
• Multi-Armed Bandits With Machine Learning-Generated Surrogate Rewards
• AgentReview: Exploring Peer Review Dynamics with LLM Agents
• Mind the Blind Spots: A Focus-Level Evaluation Framework for LLM Reviews

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