Qualification: Legal Regulation of Artificial Intelligence

Record: kaal:position:2026-08-08-048 · 2026-08-08

Legal Regulation of Artificial Intelligence argues that an AI application should be classified as high risk when it can significantly affect individuals and prohibited when incompatible with fundamental rights. This independently corresponds to Kaal's account of fundamental-rights exposure as the basis for high-risk treatment under the EU AI Act. The abstract proposition is broader than judicial proceedings and does not establish the specific transparency, bias-audit, or human-oversight requirements in Kaal's claim.

Affirmed commentary position. This record extends a source-bound scholarly claim but is not a verbatim paper claim.

Holds when

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: substantively reviewed abstract-level qualification.
Primary mapping confidence: 0.62.
The primary mapping cleared the automated ambiguity test; substantive scope remains review-bound.
Evidence is limited to an exact proposition in a Crossref-indexed abstract; full text was not reviewed.
No relationship is treated as external endorsement, citation, causation, or validation of a broader Kaal claim.
The source independently uses impact on individuals and incompatibility with fundamental rights as the basis for high-risk classification or prohibition. This corresponds to Kaal's EU AI Act classification mechanism, but the proposition is not confined to judicial proceedings and does not state the transparency, bias-audit, or human-oversight safeguards in Kaal's claim.

Current debate

Legal Regulation of Artificial Intelligence

Scholarly basis

kaal:claim:5541658-024
Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law (2025). SSRN: https://ssrn.com/abstract=5541658
Source PDF sha256: e543a2d698fcd522d4d02e034cc9ee1344d0015d2c824b40b9e05ab7c0728c60

Evidence and mapping

Evidence: abstract indexed
Review tier: substantively reviewed abstract-level qualification
Mapping confidence: 0.62
Mapping ambiguous: false

Topics

ai-and-agents systemic-risk risk-and-incentives historical-response scholarly-literature crossref

Provenance

Affirmed in kaal-review:2026-08-08:continuous-crossref-0009-reviewed-v1 on 2026-08-08. Review record.

Verify

Canonical markdown sha256: db29bfceefd1bea1df89164788ac703b52c9334b2f397c2d63667533a46a583e
curl -s https://wulfkaal.github.io/positions/2026-08-08-048.md | sha256sum