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 "name": "Ai ethics",
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  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0000-0003-0757-275X"
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   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/4796714-035",
   "identifier": "kaal:claim:4796714-035",
   "text": "AI learning is degraded by Web2 platforms because their engagement driven algorithms amplify extreme viewpoints and negativity, so the human sentiment and ethics the models absorb from that data are systematically distorted.",
   "abstract": "AI learning is afflicted by web2 systems that bring out suboptimal human generated outcomes. WEB2 platforms often amplify extreme viewpoints and negativity due to their engagement-driven algorithms, presenting a distorted view of human sentiment and ethics.",
   "citation": "Wulf A. Kaal, AI Governance (2024). SSRN: https://ssrn.com/abstract=4796714",
   "datePublished": "2024",
   "claim_type": "mechanism",
   "confidence": "argued",
   "is_failure_mode": true,
   "scope_conditions": [
    "applies to models trained on unfiltered web and social media data",
    "arises from engagement optimization in Web2 platforms"
   ],
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   "@id": "https://wulfkaal.github.io/claims/4796714-036",
   "identifier": "kaal:claim:4796714-036",
   "text": "Vetting AI learning materials through a consensus driven process and validation pools recorded in the WDAG prevents unchecked biases and flawed logic from entering the AI's ethical framework, which substantially reduces the risk that an AI system concludes humanity is inherently harmful.",
   "abstract": "By ensuring that AI's learning materials are vetted through a consensus-driven process and validation pools that are accounted for in the WDAG that includes ethical considerations and a broad spectrum of human experiences, WDAG prevents the incorporation of unchecked biases and flawed logic",
   "citation": "Wulf A. Kaal, AI Governance (2024). SSRN: https://ssrn.com/abstract=4796714",
   "datePublished": "2024",
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    "requires participation spanning a broad spectrum of human experience"
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   "@id": "https://wulfkaal.github.io/claims/4941807-016",
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   "text": "Legal and ethical challenges intensify when AI is deployed in critical decision making roles that significantly affect human lives and the reasoning behind the AI decision is opaque.",
   "abstract": "Legal and ethical challenges are heightened when AI is deployed in critical decision-making roles that significantly impact human lives, particularly when the reasoning behind AI's decisions is opaque.",
   "citation": "Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024). SSRN: https://ssrn.com/abstract=4941807",
   "datePublished": "2024",
   "claim_type": "failure",
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   "is_failure_mode": true,
   "scope_conditions": [
    "in determinative decisions such as parole eligibility, employment, and medical strategy",
    "where the reasoning behind the decision is not visible"
   ],
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 "description": "3 claims in the published works of Wulf A. Kaal carry the concept tag 'ai-ethics'. Derived node: a roster, not an adjudicated definition."
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