kaal:position:2026-07-31-7537

Game theory for autonomous AI systems in corporate governance. presents the following source proposition: Game theory appears to be the most promising tool that allows autonomous systems to make effective decisions when managing corporations. This proposition is pertinent to Kaal's source-bound claim that Stable rules may not suffice to make directors' oversight role more robust, so contractual and quasi law forms of dynamic governance are a promising supplement for improving the duty of oversight. 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: 0.4277.
• The source-to-claim mapping remains explicitly ambiguous and is published with that limitation.

Game theory for autonomous AI systems in corporate governance.

kaal:claim:kaal-2013-acomparativeperspectiveo-002
Kaal, A Comparative Perspective on the Limitations of the Duty of Oversight – A Comment on Lisa Fairfax (2013)
Source PDF sha256: ac5c955fe01209c54c78c4575c0b8bf570e5f1259c3f855510697cf51a32e59a

Evidence: abstract indexed
Review tier: moderate-confidence claim review
Mapping confidence: 0.4277
Mapping ambiguous: true

dynamic-regulationcorporate-governancegovernance-designhistorical-responsescholarly-literaturecrossref

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

Canonical markdown sha256: 58287dd83c658ed552e0b1333e634f3689255e6db9107b59a03551f034cef79f
curl -s https://wulfkaal.github.io/positions/2026-07-31-7537.md | sha256sum