# kaal:position:2026-08-08-003

**Affirmed position.** Andrea Agiollo, Luciano Cavalcante Siebert, Pradeep K. Murukannaiah, Andrea Omicini qualify Kaal's source-bound position through From large language models to small logic programs: building global explanations from disagreeing local post-hoc explainers. The indexed proposition states that however, to the best of our knowledge, a thorough comparison among available explainability techniques is currently missing, as well as approaches for constructing global post-hoc explanations leveraging the local information. This bears on Kaal's claim that post hoc explainability techniques do not by themselves establish trustworthiness; the explanations they produce must additionally be verified against human knowledge. The reported absence of thorough comparisons and global post-hoc synthesis reinforces the incompleteness of explanation output, while it does not independently establish Kaal's human-knowledge verification requirement. The response is limited to the indexed proposition and does not imply review of the full external work.

**Status.** affirmed  **Published.** 2026-08-08

**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: 0.5.
- The primary mapping cleared the automated ambiguity test; substantive scope remains review-bound.
- Evidence is limited to an indexed abstract proposition and bibliographic identity; full text was not reviewed in this pass.
- The response does not treat lexical overlap or the original automated mapping score as evidence.
- The relationship is intentionally framed as a qualification and does not establish equivalence between the sources.

**Current debate.** From large language models to small logic programs: building global explanations from disagreeing local post-hoc explainers: https://doi.org/10.1007/s10458-024-09663-8

**Extends.** kaal:claim:5541658-012: https://wulfkaal.github.io/claims/5541658-012

**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.** substantively reviewed abstract-level qualification

**Mapping confidence.** 0.5  **Mapping ambiguous.** false

**Topics.** ai-and-agents, reputation, historical-response, scholarly-literature, crossref

**Provenance.** Affirmed in kaal-review:2026-08-08:backlog-substantive-0001-reviewed-v2 at https://kaal-signal-desk.wulf577462.chatgpt.site/#review.

**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.