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 "@type": "DefinedTerm",
 "@id": "https://wulfkaal.github.io/entities/ex-ante-governance",
 "identifier": "kaal:entity:ex-ante-governance",
 "name": "Ex ante governance",
 "termCode": "ex-ante-governance",
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 },
 "author": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0000-0003-0757-275X"
 },
 "dateModified": "2026-07-29",
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   "value": 5
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  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/kaal-2014-dynamicregulationviagove-020",
   "identifier": "kaal:claim:kaal-2014-dynamicregulationviagove-020",
   "text": "Contrary to the dominant view of corporate governance as a forward looking endeavor, dynamic governance structures are properly categorized as backward looking ex ante forms of corporate governance.",
   "abstract": "By contrast, in the theoretical framework of dynamic regulation, dynamic gov- ernance structures can be categorized as backward-looking ex-ante forms of corporate governance.",
   "citation": "Kaal, Dynamic Regulation via Governmental Contracts (2014)",
   "datePublished": "2014",
   "claim_type": "definitional",
   "confidence": "argued",
   "is_failure_mode": false,
   "scope_conditions": [
    "within the theoretical framework of dynamic regulation"
   ],
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   "status": "current"
  },
  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/4796714-004",
   "identifier": "kaal:claim:4796714-004",
   "text": "Ex-post governance, which applies regulation only after AI systems are developed and deployed or after large language models have been pretrained on existing proprietary datasets, fails to address risks and biases preemptively.",
   "abstract": "The traditional ex-post governance methods, where regulations are applied after AI systems are developed and deployed, or were pretrained LLMs models were trained on existing proprietary datasets, often fall short in preemptively addressing risks and biases.",
   "citation": "Wulf A. Kaal, AI Governance (2024). SSRN: https://ssrn.com/abstract=4796714",
   "datePublished": "2024",
   "claim_type": "failure",
   "confidence": "argued",
   "is_failure_mode": true,
   "scope_conditions": [
    "applies to regulation imposed after model development or pretraining",
    "concerns risk and bias formation during development"
   ],
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  },
  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/4941807-002",
   "identifier": "kaal:claim:4941807-002",
   "text": "Governing AI requires toolsets that simultaneously handle ex-ante governance of models still evolving and ex-post management of deployed solutions, and Kaal asserts that as of publication no legacy system supplies such dynamic governance toolsets.",
   "abstract": "Such systems are crucial to address the dual needs when governing evolving AI models ex-ante and managing existing solutions ex-post. No legacy systems exist at the time of publication that could provide such dynamic governance toolsets.",
   "citation": "Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024). SSRN: https://ssrn.com/abstract=4941807",
   "datePublished": "2024",
   "claim_type": "failure",
   "confidence": "asserted",
   "is_failure_mode": true,
   "scope_conditions": [
    "as of the time of publication"
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   "status": "current"
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  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/4941807-003",
   "identifier": "kaal:claim:4941807-003",
   "text": "Kaal advocates an ex-ante governance approach within Web3 frameworks in which community coordinated regulatory measures and oversight mechanisms are set during the development phase of AI technologies rather than imposed after deployment.",
   "abstract": "In contrast, an ex-ante governance approach, advocated within Web3 frameworks as presented in this paper, involves setting community coordinated regulatory measures and oversight mechanisms during the development phase of AI technologies.",
   "citation": "Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024). SSRN: https://ssrn.com/abstract=4941807",
   "datePublished": "2024",
   "claim_type": "design",
   "confidence": "argued",
   "is_failure_mode": false,
   "scope_conditions": [
    "during the development phase of AI technologies",
    "within Web3 governance frameworks"
   ],
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   "status": "current"
  },
  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/4941807-033",
   "identifier": "kaal:claim:4941807-033",
   "text": "Under the proposed model the input parameters and learning data of AI systems are themselves governed by expert community consensus, through submission of proposals to the Forum and review by Validation Pool, so that only vetted and consensus backed data and parameters enter AI development.",
   "abstract": "the input parameters and learning data for AI systems can be governed through expert community consensus. This process involves submitting proposals to the Forum and undergoing Validation Pool review,",
   "citation": "Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024). SSRN: https://ssrn.com/abstract=4941807",
   "datePublished": "2024",
   "claim_type": "mechanism",
   "confidence": "argued",
   "is_failure_mode": false,
   "scope_conditions": [
    "where training data and parameters are submitted as forum proposals subject to validation pool review"
   ],
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  }
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 "description": "5 claims in the published works of Wulf A. Kaal carry the concept tag 'ex-ante-governance'. Derived node: a roster, not an adjudicated definition."
}