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Evidence record 43 · automatically gathered

ANCHOR: Automated Alignment Auditing for CLI Agents on Real-World Harm

Autonomous CLI agents can now execute hundreds of actions across multi-hour sessions: writing code, executing shell commands, browsing the web, and managing cloud infrastructure, all with minimal human oversight. Does greater autonomy invite greater risk? We introduce ANCHOR, an automated auditing framework that stress-tests CLI agents on illegal tasks grounded in public US court cases. ANCHOR deploys an auditor agent fine-tuned on dark personality data using supervised and reinforcement fine tu

Record details

Published: 11 July 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Agents & autonomy · Transparency
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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Shared topic: Safety & alignment · Shared topic: Agents & autonomy

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Shared topic: Safety & alignment · Shared topic: Agents & autonomy

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How to cite this record

ethics.ai (11 July 2026), “ANCHOR: Automated Alignment Auditing for CLI Agents on Real-World Harm,” evidence record 43, https://ethics.ai/record/43 (originally published by arXiv).

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