kaal:position:2026-07-31-7696

LEGAL ACCOUNTABILITY OF AUTONOMOUS AI SYSTEMS IN CRIMINAL JUSTICE presents the following source proposition: When an AI system takes an action that is normally a crime if taken by a human being, it becomes far less clear as to how to impose liability under law. This proposition is pertinent to Kaal's source-bound claim that Existing corporate criminal liability combined with the absence of clear Department of Justice standards for charging businesses can push organizations to adopt unproven compliance programs and generate other inefficiencies. 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: 0.3539.
• The source-to-claim mapping remains explicitly ambiguous and is published with that limitation.

LEGAL ACCOUNTABILITY OF AUTONOMOUS AI SYSTEMS IN CRIMINAL JUSTICE

kaal:claim:2486570-006
Wulf A. Kaal, Timothy Lacine, The Effect of Deferred and Non-Prosecution Agreements on Corporate Governance Evidence from 1993-20 (2014). SSRN: https://ssrn.com/abstract=2486570
Source PDF sha256: 8c3981c9a55d8a3fe59a01660584eebc3feb3fb9109ca65344095bebe4ae49a4

Evidence: abstract indexed
Review tier: moderate-confidence claim review
Mapping confidence: 0.3539
Mapping ambiguous: true

compliancelaw-and-legal-systemshistorical-responsescholarly-literaturecrossref

Affirmed in kaal-review:2026-07-31:streaming-etl-0010 on 2026-07-31. Review record.

Canonical markdown sha256: 0a2d1f690a5fb95ef9f8ff8307641aa50cfc2f7e4fc432ede71212548b0cd054
curl -s https://wulfkaal.github.io/positions/2026-07-31-7696.md | sha256sum