kaal:position:2026-07-31-7348

Constitutional Drift in AI Systems: The Governance Gap Between Output Assurance and Structural Stability presents the following source proposition: Current AI governance frameworks address capability, alignment, and compliance. This proposition is pertinent to Kaal's source-bound claim that A sequenced two-stage vote, an informal community vote that reveals collective wisdom followed by a formal vote in which staked reputation tokens are at risk, gives job posters significant assurance that the reviewed code and the platform report meet the highest available quality standards. 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: 0.4802.
• The source-to-claim mapping remains explicitly ambiguous and is published with that limitation.

Constitutional Drift in AI Systems: The Governance Gap Between Output Assurance and Structural Stability

kaal:claim:4755632-034
Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632
Source PDF sha256: 972ccebf0c06ac1767a9e443bb95942b7670e806a63c25ee817c368a64c8eca8

Evidence: abstract indexed
Review tier: moderate-confidence claim review
Mapping confidence: 0.4802
Mapping ambiguous: true

compliancegovernance-designreputationtokenomicshistorical-responsescholarly-literaturecrossref

Affirmed in kaal-review:2026-07-31:streaming-etl-0008 on 2026-07-31. Review record.

Canonical markdown sha256: 65e27d12119b3bf0dbe334db8fbeb5b1e8c94412d1c7e3439d9ef1dc0e3632ad
curl -s https://wulfkaal.github.io/positions/2026-07-31-7348.md | sha256sum