kaal:claim:4796714-032

Managing machine learning assets and complying with laws such as GDPR and CCPA becomes significantly harder under decentralized governance, because distributed data and operations complicate tracking data flows, enforcing privacy controls, and demonstrating compliance during audits.

Managing ML assets and adhering to laws such as GDPR and CCPA is significantly more challenging under decentralized governance, raising concerns over privacy and data management.

Wulf A. Kaal, AI Governance (2024), Adapting Decentralization of AI Governance to AI Models, p. 35
https://ssrn.com/abstract=4796714 · source PDF

Wulf A. Kaal, AI Governance (2024). SSRN: https://ssrn.com/abstract=4796714

• applies to decentralized ML governance spanning multiple stakeholders and locations
• concerns stringent privacy regimes such as GDPR and CCPA

failuresupport: evidencedfailure: decentralized compliance verification gapfamily: compliance-cost-and-barrier-to-entrydecentralizationgovernance-designcompliance

• restated_by kaal:claim:4941807-027 Decentralized governance makes privacy compliance harder to demonstrate, because the distributed nature of the...

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