kaal:position:2026-07-31-7365

Regulatory sandboxes for AI in the majority world: A learning-centric approach to legal adaptation presents the following source proposition: AI innovations create an acute need for learning about what regulation is suitable for enabling innovation while dealing with technological risks. This proposition is pertinent to Kaal's source-bound claim that Because formal rulemaking takes months and often years, regulators are still processing the previous product launch while new products reach the market, and new regulations pertaining to an innovative product can be obsolete before they are finalized. 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: 0.4098.
• The source-to-claim mapping remains explicitly ambiguous and is published with that limitation.

Regulatory sandboxes for AI in the majority world: A learning-centric approach to legal adaptation

kaal:claim:2808132-023
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: 0.4098
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: 57a2eea74b986e9d01a066930f97f3fed8c65c5bde2baf3b83ef009f39ed2f7d
curl -s https://wulfkaal.github.io/positions/2026-07-31-7365.md | sha256sum