{
 "@context": "https://schema.org",
 "@type": "DefinedTerm",
 "@id": "https://wulfkaal.github.io/entities/centralized-ai",
 "identifier": "kaal:entity:centralized-ai",
 "name": "Centralized ai",
 "termCode": "centralized-ai",
 "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/centralized-ai.md",
 "sha256": "8bf323d87899ae78d5cdde8c94f423eae57a3f908eed3ba9c751270ee92f8c7a",
 "additionalProperty": [
  {
   "@type": "PropertyValue",
   "name": "status",
   "value": "derived"
  },
  {
   "@type": "PropertyValue",
   "name": "claim_count",
   "value": 4
  },
  {
   "@type": "PropertyValue",
   "name": "work_count",
   "value": 2
  },
  {
   "@type": "PropertyValue",
   "name": "year_span",
   "value": [
    "2024",
    "2025"
   ]
  },
  {
   "@type": "PropertyValue",
   "name": "non_current_claims",
   "value": 0
  }
 ],
 "subjectOf": [
  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/4941807-014",
   "identifier": "kaal:claim:4941807-014",
   "text": "Centralizing data in a single repository, while it permits powerful computation and advanced algorithms, poses significant privacy risks and creates a single point of failure.",
   "abstract": "However, this centralization can pose significant privacy risks and create a single point of failure.",
   "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": [
    "in centralized AI architectures that pool data into one repository"
   ],
   "source_pdf_sha256": "ab66c1e99a88da1fa36b0c6b536df5184231fe6aa427f3dd53287a4e0ac79853",
   "status": "current"
  },
  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/5245185-026",
   "identifier": "kaal:claim:5245185-026",
   "text": "Centralized AI structures for monitoring AI agents create a self referential loop that is prone to systemic biases and blind spots, and their rigidity prevents adaptation to the dynamic nature of AI.",
   "abstract": "Centralized AI structures for AI agent monitoring create a self-referential loop prone to systemic biases and blind spots, while their rigidity fails to adapt to AI's dynamic nature.",
   "citation": "Wulf A. Kaal, How can we Best Monitor AI Agents (2025). SSRN: https://ssrn.com/abstract=5245185",
   "datePublished": "2025",
   "claim_type": "failure",
   "confidence": "argued",
   "is_failure_mode": true,
   "scope_conditions": [
    "centralized AI systems used to supervise AI agents"
   ],
   "source_pdf_sha256": "4d7adba83ec722480e97bde6528cbe9ce98c709e45cb18794f157a64b8fe7da2",
   "status": "current"
  },
  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/5245185-029",
   "identifier": "kaal:claim:5245185-029",
   "text": "Claims that centralized AI ensures KYC and AML compliance are circular, because they rely on AI to interpret the very regulations that AI may itself violate.",
   "abstract": "the assertion that centralized AI ensures compliance with KYC and AML standards overlooks the circularity of relying on AI to interpret regulations it may itself violate.",
   "citation": "Wulf A. Kaal, How can we Best Monitor AI Agents (2025). SSRN: https://ssrn.com/abstract=5245185",
   "datePublished": "2025",
   "claim_type": "failure",
   "confidence": "argued",
   "is_failure_mode": true,
   "scope_conditions": [
    "AI driven compliance interpretation for KYC and AML"
   ],
   "source_pdf_sha256": "4d7adba83ec722480e97bde6528cbe9ce98c709e45cb18794f157a64b8fe7da2",
   "status": "current"
  },
  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/5245185-032",
   "identifier": "kaal:claim:5245185-032",
   "text": "The adaptive learning touted as the strength of centralized AI monitoring is insufficient, because it relies on internal data loops that cannot match the external evolution of AI agents.",
   "abstract": "The centralized AI adaptive learning touted as a strength is insufficient, as it relies on internal data loops that cannot match AI agents' external evolution.",
   "citation": "Wulf A. Kaal, How can we Best Monitor AI Agents (2025). SSRN: https://ssrn.com/abstract=5245185",
   "datePublished": "2025",
   "claim_type": "failure",
   "confidence": "evidenced",
   "is_failure_mode": true,
   "scope_conditions": [
    "centralized feedback and recalibration confined to internal data"
   ],
   "source_pdf_sha256": "4d7adba83ec722480e97bde6528cbe9ce98c709e45cb18794f157a64b8fe7da2",
   "status": "current"
  }
 ],
 "description": "4 claims in the published works of Wulf A. Kaal carry the concept tag 'centralized-ai'. Derived node: a roster, not an adjudicated definition."
}