kaal:position:2026-07-31-7356

From Reactive to Proactive: Governance by Design as a Foundational Principle for Responsible AI presents the following source proposition: Current AI governance frameworks are reactive by architecture. This proposition is pertinent to Kaal's source-bound claim that Regulation is usually reactive because it responds to facts, but the current environment is one of data rather than settled facts; regulation must therefore become proactive and dynamically responsive to data and trends. 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: 0.378.
• The source-to-claim mapping remains explicitly ambiguous and is published with that limitation.

From Reactive to Proactive: Governance by Design as a Foundational Principle for Responsible AI

kaal:claim:2808132-001
Wulf A. Kaal, Erik P.M. Vermeulen, How to Regulate Disruptive Innovation - From Facts to Data (2016). SSRN: https://ssrn.com/abstract=2808132
Source PDF sha256: 3515f2317ed9c1d33ae55d70467cdf1f6c4e350065ea6a887d5d7619599ad7d2

Evidence: abstract indexed
Review tier: moderate-confidence claim review
Mapping confidence: 0.378
Mapping ambiguous: true

dynamic-regulationinnovationhistorical-responsescholarly-literaturecrossref

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

Canonical markdown sha256: 224de3e22cc36e7bed2f271a830a1410f1fdf1a738ce8c0f493b5ed04972174b
curl -s https://wulfkaal.github.io/positions/2026-07-31-7356.md | sha256sum