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TRACE: A Governance Framework for Measuring Explainability Debt in Production AI Systems
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Researchers introduced TRACE, a seven-instrument governance framework designed to measure explainability debt in production AI systems.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 9 October 2026
- Collected by OneBench
- 10 Oct 2026, 03:02 UK
Stored source excerpt
arXiv:2610.10957v1 Announce Type: new Abstract: Production AI systems deployed in high-stakes domains accumulate a governance liability that existing monitoring frameworks fail to detect: the progressive…
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