kaal:position:2026-07-31-7498

Data governance best practices for the AI-ready airport presents the following source proposition: A robust data governance framework provides the structure for ensuring data quality, security and compliance while enabling airports to harness data for artificial intelligence (AI) applications such as predictive maintenance and passenger flow management. This proposition is pertinent to Kaal's source-bound claim that The governance protocols required for GDPR and AI Act compliance, including anonymization, data minimization, and explicit consent, themselves complicate the assembly of robust AI training datasets. 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: 0.3904.
• The source-to-claim mapping remains explicitly ambiguous and is published with that limitation.

Data governance best practices for the AI-ready airport

kaal:claim:5095633-012
Wulf A. Kaal, Artificial Intelligence The Final Frontier (2025). SSRN: https://ssrn.com/abstract=5095633
Source PDF sha256: cbb484711f89bcefc9fc6a5730a1ed0a3f764d7999ad9b6f7d8ea05634c26c63

Evidence: abstract indexed
Review tier: moderate-confidence claim review
Mapping confidence: 0.3904
Mapping ambiguous: true

compliancegovernance-designai-and-agentshistorical-responsescholarly-literaturecrossref

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

Canonical markdown sha256: f93461645f408658ae94d2a4f3bd8ea22267b639ccb18de8940cf59278771d82
curl -s https://wulfkaal.github.io/positions/2026-07-31-7498.md | sha256sum