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March 27, 20260 citationsOpen Access

Metaphors as Legal Memes: Extended Phenotype Theory, Heteronomous Bayesian Updating, and the Evolutionary Dynamics of AI Regulatory Language

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ILIgnacio Adrián LERER

Key Points

  • The research aims to uncover why certain metaphors dominate AI regulatory language and how they affect legal discourse.
  • Analyzed metaphorical patterns in AI regulatory discourse using cognitive linguistics.
  • Identified and classified metaphors like 'intelligence,' 'black box,' and 'hallucinations.'
  • Proposed frameworks: Extended Phenotype Theory, Heteronomous Bayesian Updating, and Asymmetric Intentionality Theory.
  • Established that certain metaphors persist due to their fitness as cultural replicators, not accuracy.
  • Clarified that users' reactions shape beliefs rather than outcome evaluations, leading to 'deferential hazards.'
  • Demonstrated that existing legal frameworks can address risks without needing new metaphors.

Abstract

Novelli, Floridi, Larsson, Taddeo, and Winter (2025) deploy cognitive linguistics to trace how three metaphorical patterns, "intelligence," "black box," and "hallucinations," structure AI regulatory discourse and generate conceptual path dependence. Their analysis identifies the problem with precision but leaves three questions open: why certain regulatory metaphors persist while competitors fail, what causal mechanism underlies the epistemic deference they rename as "deferential hazards," and what existing legal instruments already address the normative consequences they identify. This paper proposes answers from three frameworks developed independently for analyzing institutional persistence, intentionality mismatch, and memetic evolution. Extended Phenotype Theory (EPT) reconceptualizes regulatory metaphors as cultural replicators whose survival depends on reproductive fitness rather than descriptive accuracy, explaining why "artificial intelligence" outcompetes "stochastic parrots" despite inferior analytical precision. Heteronomous Bayesian Updating (HBU) provides the causal mechanism that "deferential hazards" describes but does not formalize: users calibrate beliefs through interlocutor reactions rather than outcome evaluation, and systems optimized for satisfaction systematically corrupt this process. Asymmetric Intentionality Theory (AIT) formalizes what cognitive linguistics identifies as "personification": users attribute Level 3 intentionality (recursive moral reasoning) to systems operating at Level 1 (preference function optimization), generating self-reinforcing Dynamic Classification Failure. The three frameworks converge on a practical implication: objective liability regimes for risky activities, present across continental civil law systems and functionally paralleled by strict liability doctrine in common law jurisdictions, already provide the legal infrastructure to address design-choice responsibility without requiring new regulatory metaphors or administrative regimes. Argentine civil law (Articles 1757-1758, Civil and Commercial Code) illustrates the point with particular clarity. The convergence of cognitive linguistics and evolutionary jurisprudence on the same phenomena, from independent premises, constitutes evidence for both research programs.

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Cite This Study

Ignacio Adrián LERER (2026) studied this question.

synapsesocial.com/papers/69c6201515a0a509bde18825https://doi.org/10.5281/zenodo.19226108
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