{
 "failure_mode": "human-judgment-displacement",
 "specific_names": [
  "Algorithmic Sovereign Displacing Elections",
  "Analytics Driven Choice Narrowing",
  "Behavioral Institutional Domain Loss",
  "Centralized Algorithmic Automation",
  "Dataism denies value of human input",
  "Displacement of junior legal work",
  "Elimination of the human element",
  "Hierarchy Without Cognitive Justification",
  "Keynesian Transmission Failure",
  "Node Diversity Collapse",
  "Recommendation asymmetry as social control",
  "Systematic underperformance versus human managers",
  "Wage Theory Foundation Failure",
  "automated interpretation displacing human meaning",
  "automation ignores the human element",
  "automation nuance loss",
  "computational advance cannot supply stakes",
  "consequence-free agency",
  "decision displacement by AI advice",
  "generative oversimplification of deliberation",
  "junior-lawyer-displacement",
  "misplaced automation hope",
  "negation of human input",
  "no human backstop",
  "no human backstop in automated settlement",
  "obsolescence-of-traditional-legal-skills",
  "option abundance without selection capacity",
  "perceived objectivity driving overreliance",
  "scaffold collapse",
  "statistical reductionism in adjudication",
  "technically accurate but contextually deficient output",
  "virtue deficit in generative judging"
 ],
 "count": 32,
 "claims": [
  {
   "id": "kaal:claim:2939127-002",
   "url": "https://wulfkaal.github.io/claims/2939127-002",
   "claim": "Disruptive innovation in law renders obsolete many and probably most of the traditional legal skills and characteristics that law schools currently cultivate.",
   "specific_name": "obsolescence-of-traditional-legal-skills",
   "conditions": [
    "areas of practice exposed to disruptive innovation in law"
   ],
   "source": "Legal Education in the Blockchain Revolution",
   "year": "2017",
   "quote": "Yet, disruptive innovation in law9 obviates many if not most of the traditional legal skills and characteristics of traditional lawyers.",
   "citation": "Mark Fenwick, Wulf A. Kaal, Erik P. M. Vermeulen, Legal Education in the Blockchain Revolution (2017). SSRN: https://ssrn.com/abstract=2939127"
  },
  {
   "id": "kaal:claim:2939127-009",
   "url": "https://wulfkaal.github.io/claims/2939127-009",
   "claim": "Legal Tech applications will soon perform most of the work junior lawyers do, and will do so without the human elements that produce imprecision, flaws, inaccuracies, potential lawsuits, and delay; junior legal professionals and support staff are therefore the first casualties.",
   "specific_name": "junior-lawyer-displacement",
   "conditions": [
    "high volume, standardizable junior lawyer tasks",
    "near future relative to 2017"
   ],
   "source": "Legal Education in the Blockchain Revolution",
   "year": "2017",
   "quote": "Legal Tech applications will be able to perform most of junior lawyers' work in the near future without the human elements that create imprecision, flaws, inaccuracies, possible lawsuits, and delay.",
   "citation": "Mark Fenwick, Wulf A. Kaal, Erik P. M. Vermeulen, Legal Education in the Blockchain Revolution (2017). SSRN: https://ssrn.com/abstract=2939127"
  },
  {
   "id": "kaal:claim:3227967-013",
   "url": "https://wulfkaal.github.io/claims/3227967-013",
   "claim": "Junior legal professionals and legal support staff are the first casualties of the Legal Tech evolution, because applications will soon perform most junior lawyer work without the human elements that create imprecision, flaws, inaccuracies, possible lawsuits and delay.",
   "specific_name": "Displacement of junior legal work",
   "conditions": [
    "continued decentralization of legal services by startups"
   ],
   "source": "Legal Education in a Digital Age Why 'Coding for Lawyers' Matters",
   "year": "2018",
   "quote": "Junior legal professionals and legal support staff are likely the first victims of the Legal Tech evolution.32 Legal Tech applications will be able to perform most of the junior lawyers' work soon without the human elements that create imprecision, flaws, inaccuracies, possible lawsuits, and delay.",
   "citation": "Mark Fenwick, Wulf A. Kaal, Erik P.M. Vermeulen, Legal Education in a Digital Age Why 'Coding for Lawyers' Matters (2018). SSRN: https://ssrn.com/abstract=3227967"
  },
  {
   "id": "kaal:claim:3409548-005",
   "url": "https://wulfkaal.github.io/claims/3409548-005",
   "claim": "Systematic, computer model driven funds do not reliably outperform human managed funds: research finds the typical systematic fund does not always perform as well as funds run by human managers.",
   "specific_name": "Systematic underperformance versus human managers",
   "conditions": [
    "typical systematic fund",
    "Preqin research as of 2016"
   ],
   "source": "Financial Technology and Hedge Funds",
   "year": "2019",
   "quote": "However, according to research done by Preqin, the typical systematic fund doesn't always perform as well as funds operated by human managers.",
   "citation": "Kaal, Financial Technology and Hedge Funds (2019). SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3409548"
  },
  {
   "id": "kaal:claim:3606663-031",
   "url": "https://wulfkaal.github.io/claims/3606663-031",
   "claim": "DeFi platform technologies often have limited product market fit because the reliance on code over human judgment produces products built around automation that ignore the human element in financial transactions.",
   "specific_name": "automation ignores the human element",
   "conditions": [
    "DeFi products built primarily on automated code execution",
    "transactions involving subjective or non codifiable inputs"
   ],
   "source": "Digital Asset Market Evolution",
   "year": "2020",
   "quote": "DeFi platform technologies often have a limited product market fit. The reliance on code in the market for digital assets over human judgments resulted in a focus on products that predominantly rely on automation, ignoring the human element in financial transactions.",
   "citation": "Kaal, Digital Asset Market Evolution (2020). SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3606663"
  },
  {
   "id": "kaal:claim:3808852-029",
   "url": "https://wulfkaal.github.io/claims/3808852-029",
   "claim": "Automation and the absence of a human backstop in compliance, back office, and settlement create new risks to market integrity on decentralized exchanges, including wash trading, frontrunning, and insider trading.",
   "specific_name": "no human backstop in automated settlement",
   "conditions": [],
   "source": "Decentralization and Feedback Effects",
   "year": "2021",
   "quote": "The code may also create new risks to market integrity because of its automation and lack of a human backstop in compliance, back office, and settlement.",
   "citation": "Wulf A. Kaal, Decentralization and Feedback Effects (2021). SSRN: https://ssrn.com/abstract=3808852"
  },
  {
   "id": "kaal:claim:3808873-029",
   "url": "https://wulfkaal.github.io/claims/3808873-029",
   "claim": "Centralized algorithmic automation, defined as artificially intelligent systems taking over core functions in human society, poses perhaps the greatest threat to decentralization.",
   "specific_name": "Centralized Algorithmic Automation",
   "conditions": [
    "proliferation of big data, predictive analytics and IoT sensing"
   ],
   "source": "Decentralization Neutralizers",
   "year": "2021",
   "quote": "Centralized algorithmic automation poses perhaps the greatest threat to decentralization. Centralized algorithmic automation describes the process of artificially intelligent systems taking over core functions in human society.",
   "citation": "Wulf A. Kaal, Decentralization Neutralizers (2021). SSRN: https://ssrn.com/abstract=3808873"
  },
  {
   "id": "kaal:claim:3808873-030",
   "url": "https://wulfkaal.github.io/claims/3808873-030",
   "claim": "The availability of big data and algorithmic analytics increasingly limits individual choice, free will and the diversity of human experiences and actions, because the more analytics are available the less people make decisions that contradict them.",
   "specific_name": "Analytics Driven Choice Narrowing",
   "conditions": [
    "domains where predictive analytics outperform individual judgment, for example DNA and health analytics"
   ],
   "source": "Decentralization Neutralizers",
   "year": "2021",
   "quote": "Individual choice, free will, and diversity of human experiences and actions are increasingly limited through the availability of big data and algorithmic data analytics. For example, the more DNA analytics are available, the less people with make decisions that contradict the analytics.",
   "citation": "Wulf A. Kaal, Decentralization Neutralizers (2021). SSRN: https://ssrn.com/abstract=3808873"
  },
  {
   "id": "kaal:claim:3808873-031",
   "url": "https://wulfkaal.github.io/claims/3808873-031",
   "claim": "Because centralized algorithmically automated systems can know individuals' political preferences better than the individuals themselves, exercising political will through human voting becomes redundant and democratic elections may not be needed, though existing constitutional arrangements may delay that outcome.",
   "specific_name": "Algorithmic Sovereign Displacing Elections",
   "conditions": [
    "mature centralized algorithmic automation by platforms such as Google, Facebook and Amazon"
   ],
   "source": "Decentralization Neutralizers",
   "year": "2021",
   "quote": "Because big data and algorithmic data analytics enable centralized algorithmically automated systems (such as Google, Facebook, and Amazon) to know individuals' political preferences better than the individual's themselves, exercising political will by way of human voting is redundant.",
   "citation": "Wulf A. Kaal, Decentralization Neutralizers (2021). SSRN: https://ssrn.com/abstract=3808873"
  },
  {
   "id": "kaal:claim:3808873-032",
   "url": "https://wulfkaal.github.io/claims/3808873-032",
   "claim": "An algorithmic future in which most human decisions are predicted or performed by algorithms threatens human individuality, and the resulting loss of diversity of human experience and of unpredictability threatens the diversity of nodes in decentralized systems.",
   "specific_name": "Node Diversity Collapse",
   "conditions": [
    "widespread centralized algorithmic automation of human decision making"
   ],
   "source": "Decentralization Neutralizers",
   "year": "2021",
   "quote": "An algorithmic future where most of humans' decisions are predicted and or performed by algorithms creates a threat for human individuality. The lack of diversity of human experiences and lacking unpredictability create a threat to diversity of nodes in decentralized systems.",
   "citation": "Wulf A. Kaal, Decentralization Neutralizers (2021). SSRN: https://ssrn.com/abstract=3808873"
  },
  {
   "id": "kaal:claim:3782216-022",
   "url": "https://wulfkaal.github.io/claims/3782216-022",
   "claim": "The code that constitutes a decentralized exchange can create new risks to market integrity, because automation removes the human backstop in compliance, back office and settlement.",
   "specific_name": "no human backstop",
   "conditions": [
    "decentralized exchanges"
   ],
   "source": "Decentralized Finance (DeFi)",
   "year": "2021",
   "quote": "The code may also create new risks to market integrity because of its automation and lack of a human backstop in compliance, back office, and settlement.",
   "citation": "Craig Calcaterra, Wulf A. Kaal, Decentralized Finance (DeFi) (2021). SSRN: https://ssrn.com/abstract=3782216"
  },
  {
   "id": "kaal:claim:3782201-006",
   "url": "https://wulfkaal.github.io/claims/3782201-006",
   "claim": "Taken to the extreme, centralized control of algorithmic automation could negate human input in data systems where those systems are designed to ignore individual choice in favor of the goals of the platform owners.",
   "specific_name": "negation of human input",
   "conditions": [
    "only where systems are designed to prefer platform owners' goals over individual choice"
   ],
   "source": "Future of Decentralization",
   "year": "2021",
   "quote": "Taken to the extreme, centralized control of algorithmic automation could negate human input in data systems if the systems are designed to ignore individual choice, in preference to the goals of the platforms' owners.",
   "citation": "Craig Calcaterra, Wulf A. Kaal, Future of Decentralization (2021). SSRN: https://ssrn.com/abstract=3782201"
  },
  {
   "id": "kaal:claim:3782201-035",
   "url": "https://wulfkaal.github.io/claims/3782201-035",
   "claim": "The hope of most Web3 engineers that overhead institutions can be automated away until they vanish is largely misplaced, because business contracts are not getting simpler as technology becomes more sophisticated.",
   "specific_name": "misplaced automation hope",
   "conditions": [],
   "source": "Future of Decentralization",
   "year": "2021",
   "quote": "Decentralized oracles will eliminate the need for any original investigation from independent media. Automated systems will eliminate the middleman. These hopes are largely misplaced.",
   "citation": "Craig Calcaterra, Wulf A. Kaal, Future of Decentralization (2021). SSRN: https://ssrn.com/abstract=3782201"
  },
  {
   "id": "kaal:claim:3808867-024",
   "url": "https://wulfkaal.github.io/claims/3808867-024",
   "claim": "A single powerful application such as Google already exercises substantial control over human knowledge and thought, and could control societal outcomes by making disparate recommendations to similarly situated users.",
   "specific_name": "Recommendation asymmetry as social control",
   "conditions": [
    "dominant internet based applications accumulating societal functions since the early 2010s"
   ],
   "source": "How Decentralized Systems Can Upgrade AI",
   "year": "2021",
   "quote": "For example, a powerful application such as Google has already a lot of control over human knowledge and thought.",
   "citation": "Wulf A. Kaal, How Decentralized Systems Can Upgrade AI (2021). SSRN: https://ssrn.com/abstract=3808867"
  },
  {
   "id": "kaal:claim:3808867-028",
   "url": "https://wulfkaal.github.io/claims/3808867-028",
   "claim": "In its ultimate state, algorithmic automation negates human input in data systems altogether, because human bounded rationality creates inefficiencies and the human condition yields suboptimal outputs even when algorithmically optimized.",
   "specific_name": "Elimination of the human element",
   "conditions": [
    "fully realized centralized algorithmic automation"
   ],
   "source": "How Decentralized Systems Can Upgrade AI",
   "year": "2021",
   "quote": "In its ultimate state, algorithmic automation negates human input in data systems as humans' bounded rationality creates inefficiencies and the human condition results in suboptimal outputs, even when algorithmically optimized.",
   "citation": "Wulf A. Kaal, How Decentralized Systems Can Upgrade AI (2021). SSRN: https://ssrn.com/abstract=3808867"
  },
  {
   "id": "kaal:claim:3808867-032",
   "url": "https://wulfkaal.github.io/claims/3808867-032",
   "claim": "Because of its autocratic and efficiency focused tendencies, centralized algorithmic automation is prone to create structures for the evolution of dataism, which ultimately denies the value of human inputs and individualism.",
   "specific_name": "Dataism denies value of human input",
   "conditions": [
    "centralized algorithmic automation oriented to harmonization and efficiency"
   ],
   "source": "How Decentralized Systems Can Upgrade AI",
   "year": "2021",
   "quote": "Because of it autocratic and efficiency focused tendencies, centralized algorithmic automation is prone to create structures for the evolution of dataism, which ultimately denies the value of human inputs and individualism.",
   "citation": "Wulf A. Kaal, How Decentralized Systems Can Upgrade AI (2021). SSRN: https://ssrn.com/abstract=3808867"
  },
  {
   "id": "kaal:claim:5095633-020",
   "url": "https://wulfkaal.github.io/claims/5095633-020",
   "claim": "Automating annotation to gain speed and cost savings produces less nuanced labeling that misses the complex human judgments and context certain AI applications require.",
   "specific_name": "automation nuance loss",
   "conditions": [
    "automation-heavy annotation workflows such as those of Hive and V7 Labs"
   ],
   "source": "Artificial Intelligence The Final Frontier",
   "year": "2025",
   "quote": "Automation can sometimes result in less nuanced data labeling, potentially missing complex human judgments or context that are critical for certain AI applications.",
   "citation": "Wulf A. Kaal, Artificial Intelligence The Final Frontier (2025). SSRN: https://ssrn.com/abstract=5095633"
  },
  {
   "id": "kaal:claim:5541658-017",
   "url": "https://wulfkaal.github.io/claims/5541658-017",
   "claim": "Predictive and generative AI systems threaten fairness by reducing complex judicial processes to statistical correlations, which neglects the emotive and cognitive dimensions of justice and the contextual nuances human judges consider.",
   "specific_name": "statistical reductionism in adjudication",
   "conditions": [
    "AI used for judicial decision-making rather than administrative tasks"
   ],
   "source": "The Evolving Role of Artificial Intelligence in Law",
   "year": "2025",
   "quote": "Predictive and generative AI systems often reduce complex judicial processes to statistical correlations, neglecting the emotive-cognitive dimensions of justice.",
   "citation": "Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law (2025). SSRN: https://ssrn.com/abstract=5541658"
  },
  {
   "id": "kaal:claim:5541658-018",
   "url": "https://wulfkaal.github.io/claims/5541658-018",
   "claim": "Generative AI such as ChatGPT cannot produce justified beliefs aligned with virtue jurisprudence because it lacks the human virtues that responsive judging requires.",
   "specific_name": "virtue deficit in generative judging",
   "conditions": [
    "judging evaluated under a virtue jurisprudence standard"
   ],
   "source": "The Evolving Role of Artificial Intelligence in Law",
   "year": "2025",
   "quote": "Generative AI, such as ChatGPT, cannot produce justified beliefs aligned with virtue jurisprudence, as it lacks the human virtues required for responsive judging.",
   "citation": "Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law (2025). SSRN: https://ssrn.com/abstract=5541658"
  },
  {
   "id": "kaal:claim:5541658-019",
   "url": "https://wulfkaal.github.io/claims/5541658-019",
   "claim": "Because AI cannot fully interpret cultural or socioeconomic factors that human judges naturally weigh, it can produce outputs that are technically accurate yet contextually deficient, and this degrades the quality of justice.",
   "specific_name": "technically accurate but contextually deficient output",
   "conditions": [
    "cases where cultural or socioeconomic context bears on the outcome"
   ],
   "source": "The Evolving Role of Artificial Intelligence in Law",
   "year": "2025",
   "quote": "As a result, AI may produce technically accurate but contextually deficient outputs, undermining the quality of justice.",
   "citation": "Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law (2025). SSRN: https://ssrn.com/abstract=5541658"
  },
  {
   "id": "kaal:claim:5541658-020",
   "url": "https://wulfkaal.github.io/claims/5541658-020",
   "claim": "The risk of overreliance on legal AI is amplified by the system's perceived objectivity, which invites uncritical acceptance of flawed outputs by legal professionals.",
   "specific_name": "perceived objectivity driving overreliance",
   "conditions": [
    "legal professionals and judges using AI outputs without rigorous verification"
   ],
   "source": "The Evolving Role of Artificial Intelligence in Law",
   "year": "2025",
   "quote": "The risk of overreliance is exacerbated by AI's perceived objectivity, which may lead to uncritical acceptance of flawed outputs.",
   "citation": "Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law (2025). SSRN: https://ssrn.com/abstract=5541658"
  },
  {
   "id": "kaal:claim:5541658-037",
   "url": "https://wulfkaal.github.io/claims/5541658-037",
   "claim": "Generative AI in judicial settings is far from perfect: it can oversimplify complex judicial deliberations, reduce emotive and cognitive processes to statistical correlations, and introduce biases or interpretive errors.",
   "specific_name": "generative oversimplification of deliberation",
   "conditions": [
    "judges using tools such as GPT-4 to draft rulings or analyze arguments"
   ],
   "source": "The Evolving Role of Artificial Intelligence in Law",
   "year": "2025",
   "quote": "However, these applications are far from perfect, as generative AI can oversimplify complex judicial deliberations, reduce emotive-cognitive processes to statistical correlations, and introduce biases or interpretive errors.",
   "citation": "Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law (2025). SSRN: https://ssrn.com/abstract=5541658"
  },
  {
   "id": "kaal:claim:5541658-038",
   "url": "https://wulfkaal.github.io/claims/5541658-038",
   "claim": "A Dutch court's AI system for traffic violation appeals improved consistency yet altered legal experts' decisions, which shows that consistency gains from judicial AI can come at the cost of influencing expert judgment and therefore require human oversight.",
   "specific_name": "decision displacement by AI advice",
   "conditions": [
    "a Dutch court",
    "traffic violation appeals",
    "high volume standardized decisions"
   ],
   "source": "The Evolving Role of Artificial Intelligence in Law",
   "year": "2025",
   "quote": "For example, a study of an AI system for traffic violation appeals in a Dutch court found that while AI improved consistency, it altered legal experts' decisions, highlighting the need for human oversight.",
   "citation": "Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law (2025). SSRN: https://ssrn.com/abstract=5541658"
  },
  {
   "id": "kaal:claim:5886342-009",
   "url": "https://wulfkaal.github.io/claims/5886342-009",
   "claim": "Where the Codex or the applicable law is applied largely automatically, the human understanding of the rule prevails over the outcome produced by that automated application, so automated execution never becomes the final authority on meaning.",
   "specific_name": "automated interpretation displacing human meaning",
   "conditions": [
    "largely automated application of the Codex or applicable law"
   ],
   "source": "Universal Digital Law Codex (UDLC)",
   "year": "2025",
   "quote": "In interpreting UDLC and Applicable Laws, the hu- man understanding shall prevail over the outcome",
   "citation": "Furrer Andreas, Wulf A. Kaal, Stephan D. Meyer, Universal Digital Law Codex (UDLC) (2025). SSRN: https://ssrn.com/abstract=5886342"
  },
  {
   "id": "kaal:claim:6244278-001",
   "url": "https://wulfkaal.github.io/claims/6244278-001",
   "claim": "Contemporary AI's incapacity for authentic judgment under irreducible uncertainty is an institutional deficit rather than a computational one: an agent that bears no consequence for its errors cannot develop genuine discernment, no matter how capable it becomes.",
   "specific_name": "consequence-free agency",
   "conditions": [
    "applies to judgment under irreducible uncertainty, not to defined, verifiable tasks"
   ],
   "source": "AI's Mother's Instinct Engineered Consequence Emergent Ethics and the Institutional Trajectory Toward Agentic Alignment",
   "year": "2026",
   "quote": "This Article argues the limitation is institutional, not computational: agents bearing no consequence for error cannot develop genuine discernment.",
   "citation": "Wulf A. Kaal, AI's Mother's Instinct Engineered Consequence Emergent Ethics and the Institutional Trajectory Toward Agentic Alignment (2026). SSRN: https://ssrn.com/abstract=6244278"
  },
  {
   "id": "kaal:claim:6244278-004",
   "url": "https://wulfkaal.github.io/claims/6244278-004",
   "claim": "The epistemological capacity to understand quality, risk, and consequence by bearing exposure to outcomes is precisely what AI systems lack, and no computational advance can produce it independently; the capacity must be institutionally constructed.",
   "specific_name": "computational advance cannot supply stakes",
   "conditions": [
    "holds regardless of how dramatic future computational advances are"
   ],
   "source": "AI's Mother's Instinct Engineered Consequence Emergent Ethics and the Institutional Trajectory Toward Agentic Alignment",
   "year": "2026",
   "quote": "is the precise capacity that AI systems lack and that no computational advance, however dramatic, can independently produce. The capacity must be institutionally constructed.",
   "citation": "Wulf A. Kaal, AI's Mother's Instinct Engineered Consequence Emergent Ethics and the Institutional Trajectory Toward Agentic Alignment (2026). SSRN: https://ssrn.com/abstract=6244278"
  },
  {
   "id": "kaal:claim:6244278-005",
   "url": "https://wulfkaal.github.io/claims/6244278-005",
   "claim": "AI systems can generate an abundance of credible options and analyses but lack intrinsic mechanisms for determining which alternatives are genuinely meaningful, warrant irreversible commitment, or align with deeper strategic imperatives.",
   "specific_name": "option abundance without selection capacity",
   "conditions": [
    "applies to poorly defined domains demanding judgment under true uncertainty"
   ],
   "source": "AI's Mother's Instinct Engineered Consequence Emergent Ethics and the Institutional Trajectory Toward Agentic Alignment",
   "year": "2026",
   "quote": "Yet, they lack intrinsic mechanisms to determine which alternatives are genuinely meaningful, warrant irreversible commitment, or align with deeper strategic imperatives.",
   "citation": "Wulf A. Kaal, AI's Mother's Instinct Engineered Consequence Emergent Ethics and the Institutional Trajectory Toward Agentic Alignment (2026). SSRN: https://ssrn.com/abstract=6244278"
  },
  {
   "id": "kaal:claim:6244278-007",
   "url": "https://wulfkaal.github.io/claims/6244278-007",
   "claim": "In genuinely poorly defined contexts, where the task includes choosing what merits attention and committing resources under irreducible uncertainty, no scaffold can be pre-specified without collapsing the problem into a defined one; prompting therefore cannot close the judgment gap.",
   "specific_name": "scaffold collapse",
   "conditions": [
    "task itself includes selecting what merits attention and living with irreversible consequences"
   ],
   "source": "AI's Mother's Instinct Engineered Consequence Emergent Ethics and the Institutional Trajectory Toward Agentic Alignment",
   "year": "2026",
   "quote": "no equivalent scaffold can be pre-specified without collapsing the problem into a defined one.",
   "citation": "Wulf A. Kaal, AI's Mother's Instinct Engineered Consequence Emergent Ethics and the Institutional Trajectory Toward Agentic Alignment (2026). SSRN: https://ssrn.com/abstract=6244278"
  },
  {
   "id": "kaal:claim:6607458-019",
   "url": "https://wulfkaal.github.io/claims/6607458-019",
   "claim": "As computative systems substitute for cognitive labor across expanding domains, the scarcity assumption on which wage theory rests fails across a widening frontier, and the substitution is qualitative as well as quantitative.",
   "specific_name": "Wage Theory Foundation Failure",
   "conditions": [
    "applies across domains where cognitive production is computationally substitutable"
   ],
   "source": "Computative Economics A Framework for Economic Analysis under Computational Abundance",
   "year": "2026",
   "quote": "As computative systems substitute for cognitive labor across expanding domains, the scarcity assumption on which wage theory rests fails across a widening frontier. The substitution is not merely quantitative.",
   "citation": "Wulf A. Kaal, Computative Economics A Framework for Economic Analysis under Computational Abundance (2026). SSRN: https://ssrn.com/abstract=6607458"
  },
  {
   "id": "kaal:claim:6421319-017",
   "url": "https://wulfkaal.github.io/claims/6421319-017",
   "claim": "The Williamsonian justification for hierarchical governance evaporates when hyper rational agents can write and execute complete state contingent contracts at negligible cost, because the firm was an institutional response to the scarcity of human cognition.",
   "specific_name": "Hierarchy Without Cognitive Justification",
   "conditions": [
    "conditional on unbounded machine rationality and negligible contracting cost"
   ],
   "source": "The Collapse of Scarcity Economics",
   "year": "2026",
   "quote": "When hyper-rational agents can write and execute complete state-contingent contracts at negligible cost, the Williamsonian justification for hierarchical governance evaporates.",
   "citation": "Wulf A. Kaal, The Collapse of Scarcity Economics (2026). SSRN: https://ssrn.com/abstract=6421319"
  },
  {
   "id": "kaal:claim:6421319-018",
   "url": "https://wulfkaal.github.io/claims/6421319-018",
   "claim": "Bounded rationality was not a behavioral quirk but the ontological condition that made hierarchy, routines, and institutional inertia rational, so engineering it away strips the behavioral and institutional research program of its explanatory domain for the dominant mode of production.",
   "specific_name": "Behavioral Institutional Domain Loss",
   "conditions": [
    "applies to the dominant mode of production in the agentic economy"
   ],
   "source": "The Collapse of Scarcity Economics",
   "year": "2026",
   "quote": "Bounded rationality was never merely a behavioral quirk. It was the ontological condition that made hierarchy, routines, and institutional inertia rational.",
   "citation": "Wulf A. Kaal, The Collapse of Scarcity Economics (2026). SSRN: https://ssrn.com/abstract=6421319"
  },
  {
   "id": "kaal:claim:6421319-032",
   "url": "https://wulfkaal.github.io/claims/6421319-032",
   "claim": "Fiscal stimulus cannot restore employment that has been structurally eliminated by autonomous agents able to perform the same tasks at zero marginal cost, so the Keynesian transmission mechanism from aggregate demand to employment dissolves.",
   "specific_name": "Keynesian Transmission Failure",
   "conditions": [
    "applies where AI substitutes for labor across cognitive and physical domains"
   ],
   "source": "The Collapse of Scarcity Economics",
   "year": "2026",
   "quote": "Fiscal stimulus designed to increase aggregate demand cannot restore employment that has been structurally eliminated by autonomous agents capable of performing the same tasks at zero marginal cost.",
   "citation": "Wulf A. Kaal, The Collapse of Scarcity Economics (2026). SSRN: https://ssrn.com/abstract=6421319"
  }
 ]
}