AI ethics evidence index Search
Source-linked daily record
Evidence record 862 · automatically gathered

A Variational Framework for LLM Generator-Regulator Games

This paper develops a variational framework for regulated language generation. Starting from autoregressive token sampling, we derive the induced distribution over complete messages and relate it to an entropy-regularized Gibbs law. Regulation is modeled as an optimal discriminator whose convex-dual value is an f-divergence, and the generator-regulator interaction is formulated as a saddle-point problem. The framework applies to moderation, censorship, AI deception detection, compliance auditing

Record details

Published: 16 June 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Regulation · Transparency
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Same publisher byline · Shared topic: Regulation

Understanding Censorship in Large Language Models: From Mechanisms to Governance

arXiv · 16 June 2026

Shared topic: Bias & fairness · Shared topic: Regulation

Sequential Fairness Auditing with Limited Output Access

arXiv · 29 June 2026

Shared topic: Bias & fairness · Shared topic: Regulation

Operational AI Deployment Assurance: Governance-State Orchestration Under Threshold-Sensitive Deployment Conditions -- A Governance Framework for High-Stakes AI Systems

arXiv · 27 May 2026

Shared topic: Bias & fairness · Shared topic: Regulation

Ontological Knowledge Blocks: Executable Compliance and Profile-Based Validation for Trustworthy AI Systems

arXiv · 22 May 2026

Same publisher byline · Shared topic: Regulation

AI-Native Insurance for Agentic AI: Pricing, Underwriting, and End-to-End Automation

arXiv · 14 July 2026

Same publisher byline · Shared topic: Regulation

AI-Native Insurance for Agentic AI: Pricing, Underwriting, and End-to-End Automation

arXiv cs.CY · 16 July 2026

How to cite this record

ethics.ai (16 June 2026), “A Variational Framework for LLM Generator-Regulator Games,” evidence record 862, https://ethics.ai/record/862 (originally published by arXiv).

JSON

Use and limitations

This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.