Regulating for AI Legitimacy
arXiv:2607.24391v1 Announce Type: new Abstract: AI systems already govern. They rank speech and allocate attention, filter applicants and triage claims. The dominant frame for AI governance, alignment, asks whether such systems pursue the right objectives safely. It cannot answer a prior question: by what right are those objectives set and enforced? This Article argues that legitimacy is an autonomous regulatory objective, distinct from alignment and not secured by it. Legitimacy here is sociolo
Record details
Published: 28 July 2026
Source: arXiv cs.CY
Category: Research
Topics: Regulation · Safety & alignment
Retrieved: 28 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.
Regulating for AI Legitimacy
arXiv cs.AI · 27 July 2026
Corporations Constitute Intelligence
arXiv · 3 April 2026
Share No More Than the Request Requires: Federated Disclosure for Perspective-Aware AI
arXiv cs.CY · 28 July 2026
Less Data, Better Alignment: Data-Centric Multi-Evaluator Agreement for Preference Optimization
arXiv · 27 July 2026
Towards Robust Reinforcement Learning for Small-Scale Language Model Agents
arXiv · 27 July 2026
Why Public Service AI Governance Frameworks Risk Failing in the Age of General-Purpose AI: Lessons from Policing
arXiv · 28 July 2026
How to cite this record
ethics.ai (28 July 2026), “Regulating for AI Legitimacy,” evidence record 13795, https://ethics.ai/record/13795 (originally published by arXiv cs.CY).
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.