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  "name": "Wulf A. Kaal",
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   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/2939127-017",
   "identifier": "kaal:claim:2939127-017",
   "text": "Blockchain's distributed consensus model permits node verification of transactions without compromising the privacy of the parties, which makes it arguably safer than a traditional model requiring third party intermediary validation.",
   "abstract": "That model also allows node verification of transactions without compromising the privacy of the parties and is therefore arguably safer than a traditional model that requires third-party intermediary validation of transactions.",
   "citation": "Mark Fenwick, Wulf A. Kaal, Erik P. M. Vermeulen, Legal Education in the Blockchain Revolution (2017). SSRN: https://ssrn.com/abstract=2939127",
   "datePublished": "2017",
   "claim_type": "mechanism",
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   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/2959730-019",
   "identifier": "kaal:claim:2959730-019",
   "text": "Blockchain's distributed consensus model, in which network nodes verify and validate chain transactions before execution, makes it extremely rare for a fraudulent transaction to be recorded in the blockchain.",
   "abstract": "Blockchain's distributed consensus model, e.g., the network \"nodes\" verify and validate chain transactions before execution of the transactions, makes it extremely rare for a fraudulent transaction to be recorded in the blockchain.",
   "citation": "Wulf A. Kaal, Blockchain Applications and Fee Structure Developments in Private Investment Funds (2017). SSRN: https://ssrn.com/abstract=2959730",
   "datePublished": "2017",
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   "text": "Blockchain creates a data protection paradox: the technology itself offers strong privacy protection, yet storing blockchain data across a global network of nodes will often violate specific consumer protection rules and directives in individual jurisdictions.",
   "abstract": "While blockchain technology itself offers unprecedented genuine data and privacy protection, the storage of blockchain data across a global network of nodes often will not comply with specific consumer protection rules, directives, and guidelines around the world.",
   "citation": "Wulf A. Kaal, Blockchain Innovation for Private Investment Funds (2017). SSRN: https://ssrn.com/abstract=2998033",
   "datePublished": "2017",
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   "identifier": "kaal:claim:3002908-009",
   "text": "The immutability and permanent recording built into blockchain technology may be the root of legal difficulties in European countries that recognize a right to be forgotten or comparable privacy rights.",
   "abstract": "The immutability and eternal recording of blockchain technology may be the root of legal difficulties in European countries that recognize the \"right to be forgotten\" or certain other privacy rights.",
   "citation": "Wulf A. Kaal, Marco Dell'Erba, Blockchain Innovation in Private Investment Funds - A Comparative Analysis of the United States and (2017). SSRN: https://ssrn.com/abstract=3002908",
   "datePublished": "2017",
   "claim_type": "failure",
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   "text": "Although blockchain technology itself offers genuine data and privacy protection, storing blockchain data across a global network of nodes often will not comply with specific consumer protection rules, directives, and guidelines.",
   "abstract": "While blockchain technology itself offers unprecedented genuine data and privacy protection, the storage of blockchain data across a global network of nodes often will not comply with specific consumer protection rules, directives, and guidelines around the",
   "citation": "Wulf A. Kaal, Blockchain Technology and Race in Corporate America (2017). SSRN: https://ssrn.com/abstract=3071378",
   "datePublished": "2017",
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   "text": "Signup and approval processes in centralized micro task systems are invasive, privacy challenging, time consuming, and unclear, and they function as market entry barriers for micro task workers.",
   "abstract": "Finally, micro workers in centralized systems are faced with invasive, privacy challenging, time consuming, and unclear signup and approval processes that create market entry barriers for micro task workers.",
   "citation": "Wulf A. Kaal, Decentralized Mechanical Turk Through Verified Reputation (2018). SSRN: https://ssrn.com/abstract=3128900",
   "datePublished": "2018",
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   "text": "The distributed consensus model, in which network nodes verify and validate transactions before execution, makes it extremely rare for a fraudulent transaction to be recorded in the blockchain, and it does so without compromising the privacy of the parties.",
   "abstract": "Blockchains' distributed consensus model, e.g. the network \"nodes\" verify and validate chain transactions before transaction execution, makes it extremely rare for a fraudulent transaction to be recorded in the blockchain.",
   "citation": "Wulf A. Kaal, Blockchain Solutions for Agency Problems in Corporate Governance (2019). SSRN: https://ssrn.com/abstract=3373393",
   "datePublished": "2019",
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   "text": "The Overstock structure fails to deliver investor privacy, because all existing broker-dealer customer agreements contain provisions allowing the broker-dealer to share the customer's identity, whereas ideally the individual's privacy would be contained.",
   "abstract": "For instance, all existing broker-dealer customer agreements included provisions which allows the broker-dealer to share the identity of the customer. Ideally, the privacy of the individual would be contained.",
   "citation": "Wulf A. Kaal, Samuel Evans, Blockchain-Based Securities Offerings (2019). SSRN: https://ssrn.com/abstract=3411110",
   "datePublished": "2019",
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   "@type": "Claim",
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   "identifier": "kaal:claim:3606663-039",
   "text": "The Bank of Canada's year long Jasper trial revealed a tradeoff rather than a solution: Ethereum would make the wholesale payment system more resilient but was costly and raised privacy issues, while Corda addressed cost and privacy but made the system less resilient, and the Bank concluded in May 2017 that blockchain was not mature enough to run a national interbank payment system.",
   "abstract": "While Ethereum would make the wholesale payment system more resilient but would be costly and raised privacy issues, Corda was able to address the cost and privacy concerns but made the system less resilient.",
   "citation": "Kaal, Digital Asset Market Evolution (2020). SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3606663",
   "datePublished": "2020",
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   "text": "The goal of the Web3 movement is to foster radical bureaucratic transparency through open source design, to advance individual autonomy and privacy through cryptography, and to level access to information and computing resources through decentralized networks.",
   "abstract": "The goal of the WebG movement is to foster radical bureaucratic transparency using open source design, to further individual au- tonomy and privacy using cryptography, and to level the access to information and computing resources with decentralized networks.",
   "citation": "Craig Calcaterra, Wulf A. Kaal, Contemporary Decentralization (2021). SSRN: https://ssrn.com/abstract=3782198",
   "datePublished": "2021",
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   "identifier": "kaal:claim:3782201-039",
   "text": "People participate more willingly with decentralized apps when their information remains under their personal control, and zero knowledge proofs make exactly that possible by allowing complex information to be shared for social improvement while personal information stays controlled.",
   "abstract": "People more willingly participate with decentralized apps, if their information remains under their personal control. ZK proofs allow people to do exactly that, sharing complex information for the purposes of social improvement, while maintaining control of their personal information.",
   "citation": "Craig Calcaterra, Wulf A. Kaal, Future of Decentralization (2021). SSRN: https://ssrn.com/abstract=3782201",
   "datePublished": "2021",
   "claim_type": "mechanism",
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    "contrasted with centralized monitoring apps that people resist, making those apps less effective"
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   "@type": "Claim",
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   "identifier": "kaal:claim:3782210-010",
   "text": "Reducing member anonymity weakens rather than strengthens a decentralized network, because personal privacy protects members and lets them be more transparent in their dealings without fear of victimization.",
   "abstract": "Further, lessening the anonymity of your members weakens the power of the de- centralized network. Personal privacy protects your members, so it's more secure.",
   "citation": "Craig Calcaterra, Wulf A. Kaal, The Importance of Reputation for the Evolution of Decentralization (2021). SSRN: https://ssrn.com/abstract=3782210",
   "datePublished": "2021",
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   "text": "Greater transparency is in tension with more open membership, because larger networks are only achieved when privacy is ensured.",
   "abstract": "greater transparency is at odds with more open membership, because larger networks are only achieved when privacy is ensured.",
   "citation": "Craig Calcaterra, Wulf A. Kaal, Decentralized Finance (DeFi) (2021). SSRN: https://ssrn.com/abstract=3782216",
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   "@id": "https://wulfkaal.github.io/claims/3782220-019",
   "identifier": "kaal:claim:3782220-019",
   "text": "Where the line between public and private information falls is a function of a society's values, as the divergence between American, German, and Chinese practice shows.",
   "abstract": "The line between what is public information and private information is a function of a society's values.",
   "citation": "Craig Calcaterra, Wulf A. Kaal, The Importance of Transcendental Unifying Values for Decentralization (2021). SSRN: https://ssrn.com/abstract=3782220",
   "datePublished": "2021",
   "claim_type": "empirical",
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   "@id": "https://wulfkaal.github.io/claims/4755632-015",
   "identifier": "kaal:claim:4755632-015",
   "text": "Invasive, privacy challenging, time consuming, and unclear signup and approval processes on centralized platforms create market entry barriers for micro task workers, shrinking the supply of labor available to produce AI training data.",
   "abstract": "micro workers in centralized systems are faced with invasive, privacy challenging, time consuming, and unclear signup and approval processes that create market entry barriers for micro task workers.",
   "citation": "Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632",
   "datePublished": "2024",
   "claim_type": "failure",
   "confidence": "asserted",
   "is_failure_mode": true,
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    "applies to onboarding in centralized micro task systems"
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   "source_pdf_sha256": "972ccebf0c06ac1767a9e443bb95942b7670e806a63c25ee817c368a64c8eca8",
   "status": "current"
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   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/4796714-009",
   "identifier": "kaal:claim:4796714-009",
   "text": "Federated learning does not eliminate privacy risk, because although the data stays decentralized the exchange of model parameters can still expose sensitive information if those parameters are intercepted or improperly handled.",
   "abstract": "These challenges arise because, while FL keeps data decentralized, it still involves the exchange of model parameters, which could potentially expose sensitive information if intercepted or improperly handled.",
   "citation": "Wulf A. Kaal, AI Governance (2024). SSRN: https://ssrn.com/abstract=4796714",
   "datePublished": "2024",
   "claim_type": "failure",
   "confidence": "evidenced",
   "is_failure_mode": true,
   "scope_conditions": [
    "applies to practical federated learning deployments",
    "risk arises at the parameter exchange step"
   ],
   "source_pdf_sha256": "59fa63bae179e8f9b6b8efbdf90cee28400276512a1b04f9f579a48641305c93",
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  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/4941807-012",
   "identifier": "kaal:claim:4941807-012",
   "text": "Federated learning does not eliminate privacy risk, because although the data stays decentralized the protocol still exchanges model parameters, and those parameters can expose sensitive information if intercepted or improperly handled.",
   "abstract": "These challenges arise because, while FL keeps data decentralized, it still involves the exchange of model parameters, which could potentially expose sensitive information if intercepted or improperly handled.",
   "citation": "Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024). SSRN: https://ssrn.com/abstract=4941807",
   "datePublished": "2024",
   "claim_type": "failure",
   "confidence": "argued",
   "is_failure_mode": true,
   "scope_conditions": [
    "in federated learning deployments that exchange model parameters",
    "where parameters can be intercepted or mishandled"
   ],
   "source_pdf_sha256": "ab66c1e99a88da1fa36b0c6b536df5184231fe6aa427f3dd53287a4e0ac79853",
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  },
  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/4941807-014",
   "identifier": "kaal:claim:4941807-014",
   "text": "Centralizing data in a single repository, while it permits powerful computation and advanced algorithms, poses significant privacy risks and creates a single point of failure.",
   "abstract": "However, this centralization can pose significant privacy risks and create a single point of failure.",
   "citation": "Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024). SSRN: https://ssrn.com/abstract=4941807",
   "datePublished": "2024",
   "claim_type": "failure",
   "confidence": "argued",
   "is_failure_mode": true,
   "scope_conditions": [
    "in centralized AI architectures that pool data into one repository"
   ],
   "source_pdf_sha256": "ab66c1e99a88da1fa36b0c6b536df5184231fe6aa427f3dd53287a4e0ac79853",
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  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/4941807-017",
   "identifier": "kaal:claim:4941807-017",
   "text": "As AI systems come to depend on vast data, personal information is converted from a resource the individual could control and deploy at discretion into a fundamental operational input for AI systems, which increases the potential for misuse and makes it harder for individuals to manage how their data is used.",
   "abstract": "As AI technologies evolve, they rely heavily on vast amounts of data, transforming personal information from a resource that individuals could control and use at their discretion into a fundamental operational tool for AI systems.",
   "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": true,
   "scope_conditions": [
    "where AI operation requires large volumes of personal data"
   ],
   "source_pdf_sha256": "ab66c1e99a88da1fa36b0c6b536df5184231fe6aa427f3dd53287a4e0ac79853",
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  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/4941807-020",
   "identifier": "kaal:claim:4941807-020",
   "text": "Privacy preserving frameworks such as federated learning do not fully solve centralization, because they typically still depend on a central client to collect and distribute model information, which produces high communication loads and reintroduces centralized vulnerabilities.",
   "abstract": "In response, privacy-preserving frameworks like federated learning have been developed, yet these often still depend on a central client to collect and distribute model information, resulting in high communication loads and centralized vulnerabilities.",
   "citation": "Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024). SSRN: https://ssrn.com/abstract=4941807",
   "datePublished": "2024",
   "claim_type": "failure",
   "confidence": "argued",
   "is_failure_mode": true,
   "scope_conditions": [
    "in federated learning designs that retain a central aggregating client"
   ],
   "source_pdf_sha256": "ab66c1e99a88da1fa36b0c6b536df5184231fe6aa427f3dd53287a4e0ac79853",
   "status": "current"
  },
  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/5095633-006",
   "identifier": "kaal:claim:5095633-006",
   "text": "Privacy rules, copyright, and the uneven global distribution of digital connectivity independently reduce both the availability and the diversity of human-generated text for AI training.",
   "abstract": "issues such as privacy, copyright, and the uneven global distribution of digital connectivity further exacerbate these shortcomings by curtailing the availability and diversity of human- generated textual content.",
   "citation": "Wulf A. Kaal, Artificial Intelligence The Final Frontier (2025). SSRN: https://ssrn.com/abstract=5095633",
   "datePublished": "2025",
   "claim_type": "mechanism",
   "confidence": "asserted",
   "is_failure_mode": true,
   "scope_conditions": [],
   "source_pdf_sha256": "cbb484711f89bcefc9fc6a5730a1ed0a3f764d7999ad9b6f7d8ea05634c26c63",
   "status": "current"
  }
 ],
 "description": "21 claims in the published works of Wulf A. Kaal carry the concept tag 'privacy'. Derived node: a roster, not an adjudicated definition."
}