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Reliable AI-Assisted Decisions via Selective Auditing

Paper recorded by Signals 4 on 2026-10-22 in cs.LG. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-22 on arXiv · recorded by Signals 4 on 2026-10-23

Category: cs.LG · 机器学习 · first seen 2026-10-23

Abstract

We consider online monitoring of an AI system that produces a sequence of decisions. At each round, the system outputs a proposed decision together with a confidence score estimating the trustworthiness of the decision. The decision and confidence score need not be produced by the same model: for example, one agent may propose a decision, while a separate verifier agent evaluates it and outputs a

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#193 most recent of 749 cs.LG papers we have recorded · ↑ newer: Phase Transition from Random Features to Fully Trainable Networks · ↓ older: SpectralCanary: Embarrassingly Simple Low-Frequency Traces for T2I Dat
Cite this page: Reliable AI-Assisted Decisions via Selective Auditing: the #193 most recent of 749 cs.LG papers we have recorded (as of 2026-10-22). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/reliable-ai-assisted-decisions-via-selective-auditing.html
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