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 "name": "Streaming Ai Driven Autonomous Vehicles And Legal Liability Redefining Accountabil 6B0562D465",
 "text": "Ai-Driven Autonomous Vehicles And Legal Liability: Redefining Accountability In Human-Ai Collaborative Systems presents the following source proposition: The research focuses on how the decisions of machine learning algorithms in AVs are interpreted by the law. This proposition is pertinent to Kaal's source-bound claim that Under certain restrictive assumptions it has been proven that no protocol can guarantee fair exchange with decentralized arbiters, so no design on this architecture can promise absolute certainty of fair machine arbitration. The proposed response is an extension: the relationship should remain limited to the retrieved source proposition and the mapped Kaal claim unless fuller source review supports a broader conclusion.",
 "author": {
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  "External evidence level: abstract indexed.",
  "Mapping review tier: moderate-confidence claim review.",
  "Primary mapping confidence: 0.385.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
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  "url": "https://doi.org/10.64252/3ffewb32"
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  "url": "https://wulfkaal.github.io/claims/3125822-036",
  "citation": "Craig Calcaterra, Wulf A. Kaal, Vlad Andrei, Blockchain Infrastructure for Measuring Domain Specific Reputation in Autonomous Decentralized and A (2018). SSRN: https://ssrn.com/abstract=3125822",
  "paper": "Craig Calcaterra, Wulf A. Kaal, Vlad Andrei, Blockchain Infrastructure for Measuring Domain Specific Reputation in Autonomous Decentralized and A",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2018",
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    "whyRelevant": "Shared high-information concepts: vehicles. Scope: decentralized investment vehicles using reputation staking.",
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