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Triggers and Diagnostics for LLM-Based Interpretability Failures in Active Inference Agents
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Research demonstrates runtime oversight risks when using LLM explainers to interpret autonomous agent actions across major models.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 22 September 2026
- Collected by OneBench
- 23 Sept 2026, 03:02 UK
Stored source excerpt
arXiv:2609.23215v1 Announce Type: new Abstract: LLM explainers are increasingly attached to autonomous agents as runtime oversight, with operators reading a generated account of the agent's…
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