kaal:position:2026-07-31-7630

Trustworthy AI for Data Governance: Explaining Compliance Decisions Using SHAP and Causal Inference presents the following source proposition: Integrating new technologies into data governance calls for a deep look at how compliance, transparency, and user trust all work together in AI systems. This proposition is pertinent to Kaal's source-bound claim that Because the CHARITYxDAO records governance on distributed ledger technology, all governance votes and endowment allocation decisions are fully publicly visible, auditable by the public at will, and immutable once on chain. 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: 0.3605.
• The source-to-claim mapping remains explicitly ambiguous and is published with that limitation.

Trustworthy AI for Data Governance: Explaining Compliance Decisions Using SHAP and Causal Inference

kaal:claim:3981021-015
Wulf A. Kaal, How Decentralized Autonomous Organizations Optimize Charitable Giving (2021). SSRN: https://ssrn.com/abstract=3981021
Source PDF sha256: 9d8bc78d119c780c96c89ce3e820f4ac8b037d39b3ade59feb4e40d46b048288

Evidence: abstract indexed
Review tier: moderate-confidence claim review
Mapping confidence: 0.3605
Mapping ambiguous: true

governance-designcompliancedisclosurehistorical-responsescholarly-literaturecrossref

Affirmed in kaal-review:2026-07-31:streaming-etl-0009 on 2026-07-31. Review record.

Canonical markdown sha256: 44060fd2c7c2d711775dc7f0a72967c481bf255184152838ea79ee13769fb849
curl -s https://wulfkaal.github.io/positions/2026-07-31-7630.md | sha256sum