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TRUVACE RECORD VERSION
record: TRV-2026-2362
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-11-04T06:01:56.239413Z
status: published
lens: p_space
sector: policy
headline: From Authorship to Accountability - Rethinking Copyright Governance for AI-Generated Art
dek: 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…
gain_title: (none)
problem_title: 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.
trace_subject: (none)
gain_reading: (none)
gain_evidence: (none)
problem_reading: 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.
problem_evidence: existing copyright regimes
remain predominantly authorship-centred and provide limited guidance regarding
accountability when AI systems contribute to artistic creation | Significant regulatory
gaps persist concerning disclosure obligations, traceability of AI involvement
quick_read: A legal study uses doctrinal and comparative methods to look at how generative AI strains copyright law. It focuses on the EU Artificial Intelligence Act, international copyright debates and Albania's Law No. 35/2016 on copyright and related rights.

The paper matters because AI-assisted art raises questions that authorship rules alone cannot answer, such as who bears responsibility when AI is involved. Its proposals are untested against real creators, policymakers, developers or Albanian court practice, so how well they would work in practice is uncertain.
limitation: 
tag: Evidence-backed problem
key_points: The study argues legal concern is shifting from authorship and ownership toward transparency, disclosure, traceability and accountability. | It finds gaps in how responsibility is allocated among users, developers and platform providers. | It proposes mandatory disclosure of AI involvement and documentation of human creative contribution. | It also proposes stronger transparency standards and traceability measures for AI-generated artistic content.
rundown: The research analyses copyright principles, emerging regulatory frameworks and policy developments for AI-generated content. It gives particular attention to the EU Artificial Intelligence Act, international copyright debates and the Albanian copyright law.

The authors conclude that accountability-based governance can complement traditional copyright doctrine. They say measures such as mandatory disclosure and traceability may strengthen legal certainty and improve copyright enforcement in AI-assisted creative settings.

The authors describe the work as one of the first to link transparency, disclosure, traceability and accountability principles to regulation of AI-generated art in Albanian and European legal contexts.
sources:
- peer_reviewed | JUS & JUSTICIA | https://doi.org/10.58944/yorr4398 | 2027-01-01
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