From Disclosure to Self-Referential Opacity: Six Dimensions of Strain in Current AI Governance
Governance opacity over AI systems shifts in kind as capability asymmetry grows, and the strongest forms defeat the disclosure-based remedies governance ordinarily relies on. This paper applies a six-dimension framework from political theory (legitimacy, accountability, corrigibility, non-domination, subsidiarity, institutional resilience) to six AI governance arrangements already in operation, ordered by increasing capability asymmetry between system and overseer. Proprietary secrecy yields to
Record details
Published: 15 April 2026
Source: arXiv
Category: Research
Topics: Regulation · Transparency
Retrieved: 14 July 2026
Related evidence
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.
Cognitive Comparability and the Limits of Governance: Evaluating Authority Under Radical Capability Asymmetry
arXiv · 3 April 2026
From Parliamentary Rhetoric to Enacted Law: An NLP Pipeline for Semantic Auditing of the Greek Legislative Process
arXiv · 16 April 2026
Agentic Explainability at Scale: Between Corporate Fears and XAI Needs
arXiv · 16 April 2026
Explainable Graph Neural Networks for Interbank Contagion Surveillance: A Regulatory-Aligned Framework for the U.S. Banking Sector
arXiv · 14 April 2026
Decentralized autonomous organization and blockchain-based incentivization framework for community-based facilities management
arXiv · 16 April 2026
From Consumption to Reflection: Designing Human-AI Relations for Stable Reasoning
arXiv · 17 April 2026
How to cite this record
ethics.ai (15 April 2026), “From Disclosure to Self-Referential Opacity: Six Dimensions of Strain in Current AI Governance,” evidence record 5817, https://ethics.ai/record/5817 (originally published by arXiv).
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.