Agentic Copyright, Data Scraping & AI Governance: Toward a Coasean Bargain in the Era of Artificial Intelligence
This paper examines how the rapid deployment of multi-agentic AI systems is reshaping the foundations of copyright law and creative markets. It argues that existing copyright frameworks are ill-equipped to govern AI agent-mediated interactions that occur at scale, speed, and with limited human oversight. The paper introduces the concept of agentic copyright, a model in which AI agents act on behalf of creators and users to negotiate access, attribution, and compensation for copyrighted works. Wh
Record details
Published: 8 April 2026
Source: arXiv
Category: Research
Topics: Regulation · Copyright & IP · Agents & autonomy
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.
The Impact of Configuring Agentic AI Coding Tools on Build-vs-Buy Decisions: A Study Protocol
arXiv · 2 June 2026
Agentic Evaluation of Copyright Law Compliance
arXiv cs.CY · 27 July 2026
AgentCity: Constitutional Governance for Autonomous Agent Economies via Separation of Power
arXiv · 8 April 2026
The Accountability Horizon: An Impossibility Theorem for Governing Human-Agent Collectives
arXiv · 9 April 2026
Learning Without Losing Identity: Capability Evolution for Embodied Agents
arXiv · 9 April 2026
We Need Strong Preconditions For Using Simulations In Policy
arXiv · 9 April 2026
How to cite this record
ethics.ai (8 April 2026), “Agentic Copyright, Data Scraping & AI Governance: Toward a Coasean Bargain in the Era of Artificial Intelligence,” evidence record 6174, https://ethics.ai/record/6174 (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.