kaal:position:2026-07-31-7693

Trust in an Autonomous Agent for Predictive Maintenance: How Agent Transparency Could Impact Compliance presents the following source proposition: Like in human-human cooperation, the effectiveness of cooperation with those autonomous agents especially depends on the notion of trust. This proposition is pertinent to Kaal's source-bound claim that Traditional centralized AI driven supervision of AI agent transactions is deficient because it delivers only limited transparency, is susceptible to bias, and concentrates risk in single points of failure. The proposed response is an extension: the relationship should remain limited to the retrieved source proposition and the mapped Kaal claim unless fuller source review supports a broader conclusion.

• The response is limited to the retrieved source proposition and mapped Kaal claim unless fuller source review supports a broader conclusion.
• External evidence level: abstract indexed.
• Mapping review tier: moderate-confidence claim review.
• Primary mapping confidence: 0.3745.
• The source-to-claim mapping remains explicitly ambiguous and is published with that limitation.

Trust in an Autonomous Agent for Predictive Maintenance: How Agent Transparency Could Impact Compliance

kaal:claim:5245185-001
Wulf A. Kaal, How can we Best Monitor AI Agents (2025). SSRN: https://ssrn.com/abstract=5245185
Source PDF sha256: 4d7adba83ec722480e97bde6528cbe9ce98c709e45cb18794f157a64b8fe7da2

Evidence: abstract indexed
Review tier: moderate-confidence claim review
Mapping confidence: 0.3745
Mapping ambiguous: true

ai-and-agentscompliancedecentralizationdisclosurehistorical-responsescholarly-literaturecrossref

Affirmed in kaal-review:2026-07-31:streaming-etl-0010 on 2026-07-31. Review record.

Canonical markdown sha256: 26f7a018f00f8a214f49fda988ffb21f62000b7925a888aa35add45f1385a032
curl -s https://wulfkaal.github.io/positions/2026-07-31-7693.md | sha256sum