TRV-2026-2248Certified recordPeer-reviewed

AI AND COPYRIGHT: FROM A DOCTRINAL CRISIS TO A HYBRID MODEL OF COLLECTIVE LICENSING

The explosive development of generative artificial intelligence (hereinafter – AI) has triggered a fundamental crisis within intellectual property law. A central conflict has emerged between artificial intelligence developers, who require access to vast datasets for model training, and rights holders, who seek to protect their works and receive fair compensation for their use. The purpose of this article is to demonstrate the inadequacy of existing legal doctrines in addressing the use of copyrighted data for tr…

Media & Arts · Problem Space — documented harm · certified 2026-10-25 · v1 · article view · machine-readable

Current reading — problem

Existing US fair use litigation and the EU TDM opt-out are argued to leave AI training on copyrighted works legally unstable and unable to deliver meaningful compensation to creators.

What this doesn’t fix

The collective licensing model is the author's proposed hypothesis, and the abstract provides no evidence of implementation or measured outcomes.

Evidence

Reader signal

How should this claim be treated?

Cite this record

Truvace Impact Record TRV-2026-2248, v1: “AI AND COPYRIGHT: FROM A DOCTRINAL CRISIS TO A HYBRID MODEL OF COLLECTIVE LICENSING.” Truvace, 2026-10-25. /record/TRV-2026-2248 (accessed at citation time). sha256 9d348750b09ce71f…

Calibration history

Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.

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