kaal:position:2026-07-31-7512

AI in Public Governance: Ensuring Rights and Innovation in Non-High-Risk AI Systems in the United States presents the following source proposition: This paper aims to contribute to the ongoing effort to create an AI governance framework that takes public confidence in AI policy into account. This proposition is pertinent to Kaal's source-bound claim that Regulatory sandboxes are an instance of regulatory decentralization: by lowering regulatory barriers and costs for testing disruptive technologies while protecting consumers, the regulator fosters innovation in increasingly decentralized products and services. 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: 0.393.
• The source-to-claim mapping remains explicitly ambiguous and is published with that limitation.

AI in Public Governance: Ensuring Rights and Innovation in Non-High-Risk AI Systems in the United States

kaal:claim:3808852-038
Wulf A. Kaal, Decentralization and Feedback Effects (2021). SSRN: https://ssrn.com/abstract=3808852
Source PDF sha256: 31e91158fdeefebc2f0be54ebf89751f7cdd4c89ecea932888f5ba9be6b1caba

Evidence: abstract indexed
Review tier: moderate-confidence claim review
Mapping confidence: 0.393
Mapping ambiguous: true

decentralizationinnovationhistorical-responsescholarly-literaturecrossref

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

Canonical markdown sha256: 4cb30d81b6c1ba81c9cab9dc71ef643acff16c7e078bf7465d4dd2c06ef6085f
curl -s https://wulfkaal.github.io/positions/2026-07-31-7512.md | sha256sum