aceFrom Authorship to Accountability - Rethinking Copyright Governance for AI-Generated Art
This study examines how the rapid expansion of generative artificial intelligence (AI) challenges traditional copyright law by shifting legal concerns beyond authorship and ownership toward transparency, disclosure, traceability, and accountability in AI-assisted artistic production.The study adopts a doctrinal and comparative legal methodology to analyse copyright principles, emerging regulatory frameworks, and policy developments relating to AI-generated content. Particular attention is given to the European U…
Existing copyright regimes stay authorship-centred and give little guidance on who is accountable when AI contributes to art, leaving gaps in disclosure, traceability and responsibility among users, developers and platforms.
Evidence
- Peer-reviewedJUS & JUSTICIA2027-01-01
How should this claim be treated?
Truvace Impact Record TRV-2026-2362, v2: “From Authorship to Accountability - Rethinking Copyright Governance for AI-Generated Art.” Truvace, 2026-11-04. /record/TRV-2026-2362 (accessed at citation time). sha256 b125041cc5c43749…
Calibration history
Every change to this record since certification, in the open.
Editorial pass: sharper headline; filed as context: no real AI gain or problem (gain absent, problem unsupported).
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