{
 "@context": "https://schema.org",
 "@type": "DefinedTerm",
 "@id": "https://wulfkaal.github.io/entities/ccpa",
 "identifier": "kaal:entity:ccpa",
 "name": "Ccpa",
 "termCode": "ccpa",
 "inDefinedTermSet": {
  "@id": "https://wulfkaal.github.io/entities/index.json"
 },
 "author": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0000-0003-0757-275X"
 },
 "dateModified": "2026-07-29",
 "canonicalForm": "https://wulfkaal.github.io/entities/ccpa.md",
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   "value": [
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 "subjectOf": [
  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/4796714-032",
   "identifier": "kaal:claim:4796714-032",
   "text": "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.",
   "abstract": "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.",
   "citation": "Wulf A. Kaal, AI Governance (2024). SSRN: https://ssrn.com/abstract=4796714",
   "datePublished": "2024",
   "claim_type": "failure",
   "confidence": "evidenced",
   "is_failure_mode": true,
   "scope_conditions": [
    "applies to decentralized ML governance spanning multiple stakeholders and locations",
    "concerns stringent privacy regimes such as GDPR and CCPA"
   ],
   "source_pdf_sha256": "59fa63bae179e8f9b6b8efbdf90cee28400276512a1b04f9f579a48641305c93",
   "status": "current"
  },
  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/4941807-027",
   "identifier": "kaal:claim:4941807-027",
   "text": "Decentralized governance makes privacy compliance harder to demonstrate, because the distributed nature of these systems complicates tracking data flows and enforcing privacy controls, which in turn makes it difficult to prove compliance during audits.",
   "abstract": "The distributed nature of these systems complicates the tracking of data flows and the enforcement of privacy controls, making it difficult to demonstrate compliance during audits.",
   "citation": "Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024). SSRN: https://ssrn.com/abstract=4941807",
   "datePublished": "2024",
   "claim_type": "failure",
   "confidence": "argued",
   "is_failure_mode": true,
   "scope_conditions": [
    "under regimes such as the GDPR and CCPA",
    "where data and operations are spread across multiple stakeholders and locations"
   ],
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   "status": "current"
  }
 ],
 "description": "2 claims in the published works of Wulf A. Kaal carry the concept tag 'ccpa'. Derived node: a roster, not an adjudicated definition."
}