kaal:position:2026-07-31-7632

The Impact of AI-Based Decision Support Systems on Human Agency in Governance presents the following source proposition: Academic literature, case studies, and regulatory frameworks are systematically reviewed to assess implications for justice, trust, and democratic legitimacy. This proposition is pertinent to Kaal's source-bound claim that Because hedge funds developed under little or no regulatory supervision before the Dodd-Frank Act, the existing hedge fund performance literature largely fails to assess the implications of hedge fund regulation. 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: 0.3576.
• The source-to-claim mapping remains explicitly ambiguous and is published with that limitation.

The Impact of AI-Based Decision Support Systems on Human Agency in Governance

kaal:claim:2389416-010
Wulf A. Kaal, Barbara Luppi, Sandra Paterlini, Did the Dodd-Frank Act Impact Hedge Fund Performance (2014). SSRN: https://ssrn.com/abstract=2389416
Source PDF sha256: 0e1c4615b104821577498d9655de43b9c5c3e985bb0215f56c038b8232be65c3

Evidence: abstract indexed
Review tier: moderate-confidence claim review
Mapping confidence: 0.3576
Mapping ambiguous: true

private-fundshistorical-responsescholarly-literaturecrossref

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

Canonical markdown sha256: 5eff255162236d2b283fb19e7fd9c5304ceec8fbf9701ffb94fec0989f608b96
curl -s https://wulfkaal.github.io/positions/2026-07-31-7632.md | sha256sum