{
 "@context": "https://schema.org",
 "@type": "DefinedTerm",
 "@id": "https://wulfkaal.github.io/entities/circularity",
 "identifier": "kaal:entity:circularity",
 "name": "Circularity",
 "termCode": "circularity",
 "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/circularity.md",
 "sha256": "6aa88668e6c18bae2f760ac70225399474077a25c064ed9311d42da7be8d5d9b",
 "additionalProperty": [
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   "name": "status",
   "value": "derived"
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  {
   "@type": "PropertyValue",
   "name": "claim_count",
   "value": 2
  },
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   "value": 1
  },
  {
   "@type": "PropertyValue",
   "name": "year_span",
   "value": [
    "2025",
    "2025"
   ]
  },
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  }
 ],
 "subjectOf": [
  {
   "@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/5245185-031",
   "identifier": "kaal:claim:5245185-031",
   "text": "Relying on centralized AI to simulate attack vectors is fallacious because it assumes the system can anticipate its own adaptive strategies, while evolving agents may simply bypass centralized defenses.",
   "abstract": "The circular reliance on AI to simulate attack vectors assumes it can anticipate its own adaptive strategies—an inherent fallacy as evolving agents may bypass centralized defenses.",
   "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": [
    "AI driven intrusion detection and attack simulation"
   ],
   "source_pdf_sha256": "4d7adba83ec722480e97bde6528cbe9ce98c709e45cb18794f157a64b8fe7da2",
   "status": "current"
  }
 ],
 "description": "2 claims in the published works of Wulf A. Kaal carry the concept tag 'circularity'. Derived node: a roster, not an adjudicated definition."
}