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 "identifier": "kaal:position:2026-08-26-037",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Explanation Is Not Contestation",
 "text": "An explanation is not a challenge procedure. Kaminski and Urban's account of contesting AI separates information that makes a decision intelligible from the process that permits an affected person to challenge it. Their framework starts with notice and reasons, then adds access to evidence, an opportunity to be heard, and review by a legitimate decision-maker. The institutional test is therefore not whether a system records or explains a denial. The test is whether a person can invoke a defined process that reaches an actor with authority to reconsider the decision and provide a new outcome.\n\nThis distinction qualifies the Mosaic finding. The paper does not inspect Mosaic Companion, Gatekeeper, or commit 2d920ce. It does not establish that every agent decision requires judicial process or a neutral external tribunal. It also leaves open how much explanation or review a particular risk level warrants. Its contribution is narrower. A reason string and an audit entry may supply notice and grounds. They do not by themselves create standing, a hearing, a decision rule, or remedial authority.\n\nA sovereign local agent runtime should bind those elements before a consequential decision is enforced. The challenge record should identify the contested decision, the grounds and evidence available to the affected party, the reviewer, the review standard, and the set of authorized remedies. If the reviewer cannot suspend, revise, or reverse the relevant allocation or authority state, the system has an explanation channel, not a contestation mechanism.",
 "author": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0009-0008-7840-1847"
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 "datePublished": "2026-08-26",
 "dateModified": "2026-08-26",
 "creativeWorkStatus": "Affirmed",
 "responseType": "qualification",
 "keywords": [
  "governance-design",
  "institutional-design",
  "ai-and-agents",
  "accountability",
  "contestability",
  "due-process",
  "human-review",
  "remedy"
 ],
 "scope_conditions": [
  "The response is limited to the exact full-text propositions and the one mapped Kaal claim.",
  "External evidence level: published Columbia Law Review article with complete official full text and institutional faculty identity.",
  "Mapping review tier: independent substantive scholarly-growth qualification.",
  "The source does not inspect Mosaic Companion, Gatekeeper, commit 2d920ce, or Kaal's repository evidence.",
  "The article develops a legal and institutional framework for consequential AI decisions rather than a software specification for sovereign local agent runtimes.",
  "It does not require every agent decision to receive judicial process or review by a neutral external tribunal.",
  "The appropriate scope, explanation, reviewer, and process depend on the significance of the decision, administrative cost, and regulatory context.",
  "The source does not prescribe how a runtime should encode allocation, standing, authority, suspension, reversal, or other remedies."
 ],
 "currentDebate": {
  "name": "The Right to Contest AI",
  "url": "https://www.columbialawreview.org/content/the-right-to-contest-ai/"
 },
 "extends": {
  "identifier": "kaal:claim:7314479-037",
  "url": "https://wulfkaal.github.io/claims/7314479-037",
  "citation": "Wulf A. Kaal, Institutional Requirements for Sovereign Local Agent Runtimes (2026). SSRN: https://ssrn.com/abstract=7314479",
  "paper": "Wulf A. Kaal, Institutional Requirements for Sovereign Local Agent Runtimes",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2026",
  "ssrn": "https://ssrn.com/abstract=7314479",
  "source_pdf_sha256": "debace24a155ae924a155b1fafe98856d98cf83689feff2f87a32f1c06171ce6"
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   "name": "The Right to Contest AI",
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 "publicationStatus": "public",
 "recordTypeNote": "Dated commentary position extending a scholarly corpus claim. Not a verbatim claim extracted from the paper.",
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 "evidenceLevel": "published Columbia Law Review article with complete official full text and institutional faculty identity",
 "reviewTier": "independent substantive scholarly-growth qualification",
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 "mappingWhyRelevant": "The source independently supplies the institutional distinction in Kaal's exact claim. Explanation and an audit record can provide notice or grounds, but contestation requires a pathway to be heard and a reviewer with authority to correct the challenged decision. This qualifies rather than verifies the claim because the article does not inspect Mosaic Companion, Gatekeeper, or commit 2d920ce and does not prescribe the runtime's allocation or authority implementation.",
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  "source": "2021 Columbia Law Review article with complete official full text and institutional faculty identity",
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  "facultyRecordUrl": "https://scholar.law.colorado.edu/faculty-articles/1393/",
  "publicFullTextUrl": "https://columbialawreview.org/wp-content/uploads/2021/11/Kaminski-Urban-The_Right_to_Contest_AI.pdf",
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  "sourceProposition": "Kaminski and Urban distinguish explanation from contestation: explanation and disclosure make a challenge actionable, while meaningful contestation requires notice, access to grounds and evidence, an opportunity to be heard, and review capable of correcting an inaccurate decision.",
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    "text": "One tool for addressing bad AI decisions, gaining traction in some parts of the world but largely ignored in the United States, is contestation: giving individuals affected by AI decisions the right to challenge those decisions.",
    "locator": {
     "publication": "The Right to Contest AI",
     "journalPage": 1973,
     "section": "I.A A Right to Contest AI Decisions"
    },
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    "text": "the existence of an underlying right to contest gives substance to its transparency requirements.",
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    "text": "Participation rights should feature familiar elements of due process: notice, reason giving, and an opportunity to be heard before a legitimate, if not neutral, decisionmaker.",
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    "text": "Individuals cannot correct inaccurate decisions if they cannot see the incorrect data, reasoning, or inferences underlying decisions.",
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     "section": "III.B.1 Meaningful Notice and an Opportunity to Be Heard"
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  "workAuthors": [
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   "compatibleScope": "consequential AI and automated decisions, limited because the source does not inspect Mosaic or specify a sovereign runtime challenge implementation",
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   "strongestLimitation": "The source supplies the institutional distinction but does not inspect Mosaic or verify the commit-specific absence.",
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