# kaal:position:2026-07-31-5736

**Affirmed position.** Artificial intelligence and EU insider regulation should be assessed against Kaal's source-bound position that AI models applied to the European Court of Human Rights have achieved 97% accuracy in predicting case outcomes under Article 6, which the authors treat as evidence of their potential as judicial decision support tools rather than as replacements for judges. The external source's verified abstract presents this proposition: Abstract The increasing use of artificial intelligence (AI) and big data in capital markets presents significant challenges for the Market Abuse Regulation (MAR), which was originally designed with human decision-making and conventional algorithmic systems in mind. The defensible response is a qualification: the source is pertinent to the Kaal position, but agreement, extension, contradiction, and scope should not be strengthened beyond the retrieved evidence.

**Status.** affirmed  **Published.** 2026-07-31

**Holds when.**

- The response remains limited to the source proposition and evidence retrieved in this reconciliation cycle.
- External evidence level: abstract indexed.
- Mapping review tier: legacy curated mapping review.
- Mapping confidence is intentionally unscored.
- The source-to-claim mapping remains explicitly ambiguous and is published with that limitation.

**Current debate.** Artificial intelligence and EU insider regulation: https://doi.org/10.1093/cmlj/kmag017

**Extends.** kaal:claim:5541658-005: https://wulfkaal.github.io/claims/5541658-005

**Scholarly basis.** 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 level.** abstract indexed

**Mapping review tier.** legacy curated mapping review

**Mapping confidence.** unscored  **Mapping ambiguous.** true

**Topics.** institutional-design, historical-response, scholarly-literature

**Provenance.** Affirmed in kaal-review:2026-07-31:legacy-reconciliation-0001 at https://kaal-signal-desk.wulf577462.chatgpt.site/#frozen-batch-heading.

**Record type.** This is a dated commentary position that extends a scholarly corpus claim. It is not a verbatim claim extracted from the paper.

**Canonical form.** This markdown file is the canonical hashed representation of the position.