Ignacio Adrián LERER

From Prohibition to Architecture: Artificial Intelligence and the Extended Phenotype of Ribā in Financial Systems

This theoretical working paper examines how interpretations of the prohibition of ribā may become embedded in financial products, governance institutions, documentation practices, and AI-assisted compliance systems. It develops a bounded extended-phenotype account of computationa...

Improvement Is Not Progress: Guarded Coevolution, Path Dependence, and Contagious Memory in AI Agents

Language-model agents can adapt through prompts, memories, skills, tools, routers, evaluators, and environments without changing model weights. This paper reconciles recent work on adaptive environments, harness continual learning, and the fragility of memory-based self-improveme...

When Legal Grounds Expire: Warrant Withdrawal, Dependency Cascades, and Living Normative Memory in CriptoIUS

Legal artificial intelligence is commonly evaluated at the level of the answer, but consequential legal systems require a different object of governance: the continuing warrant for institutional reliance. A legal conclusion may have been well grounded when produced and yet become...

When Legal Grounds Expire: Warrant Withdrawal, Dependency Cascades, and Living Normative Memory in CriptoIUS

Legal artificial intelligence is commonly evaluated at the level of the answer, but consequential legal systems require a different object of governance: the continuing warrant for institutional reliance. A legal conclusion may have been well grounded when produced and yet become...

The Missing Action: A Variational Foundation for Normative Field Theory: Euler-Lagrange Dynamics, Gauge Transport, and Dissipative Constitutional Lock-in in IusSpace

Normative Field Theory (NFT) models legal systems as trajectories on IusSpace, a twelve-dimensional differentiable manifold whose metric depends on constitutional lock-in, institutional hysteresis, and subsystem modularity. Its existing formulation defines a normative metric tens...

The Burden Shift Is Not Enough: Rebuttal Technology and Deterrence in Artificial Intelligence Liability

This working paper formalizes the evidentiary margin in artificial-intelligence liability. It models a two-stage game in which a developer chooses unobservable safety investment and harm realizes probabilistically, comparing claimant-burden strict liability, negligence, and stric...

Transaction Costs, Extended Phenotype, and Liability for Artificial Intelligence: A Common Conceptual Framework

This working draft proposes a common conceptual framework for three problems usually treated separately in the literature on liability for harm caused by artificial intelligence: the optimal design of liability rules, the prediction of their success when transplanted across juris...

Transaction Costs, Extended Phenotype, and Liability for Artificial Intelligence: A Common Conceptual Framework

This working draft proposes a common conceptual framework for three problems usually treated separately in the literature on liability for harm caused by artificial intelligence: the optimal design of liability rules, the prediction of their success when transplanted across juris...