The article develops a rebuttable presumption model as the organising principle for author-centred AI regulation and concludes that in the algorithmic age, human creativity must be valued—not merely accommodated—by the legal systems that claim to protect it.
Abstract
The regulation of artificial intelligence (AI) and copyright in the European Union has proceeded almost entirely within the domain of economic rights, systematically overlooking the moral rights of authors whose works are ingested into AI training datasets and reproduced in AI-generated outputs. This article examines why this omission constitutes not merely a regulatory gap but a normative failure and proposes a framework for addressing it. Through doctrinal analysis of the DSM Directive’s text and data mining exceptions, the AI Act’s general-purpose AI obligations, and the AI Code of Practice, the article identifies a four-dimensional regulatory gap—substantive, jurisdictional, structural, and institutional—and situates it within the broader architecture of EU fundamental rights law. Drawing on the personhood theory of authorship, international human rights instruments, and the first European judicial engagement with AI-related moral and personality rights claims in GEMA v OpenAI (Regional Court of Munich I, November 2025), the article develops a rebuttable presumption model as the organising principle for author-centred AI regulation. Two complementary regulatory pathways are proposed: EU harmonisation of moral rights with AI-specific provisions, and the integration of moral rights obligations into existing AI compliance frameworks. The article concludes that in the algorithmic age, human creativity must be valued—not merely accommodated—by the legal systems that claim to protect it.
This study explores the relationship between generative artificial intelligence and copyright law in the European Union (EU), focusing on the Artificial Intelligence (AI) Act (Regulation (EU) 2024/1689) and its interplay with the existing EU copyright acquis. It distinguishes between two questions that are often confla...
Chinmay Rathee· International Journal of Law...· 0 citations
The proliferation of artificial intelligence across public and private sectors has positioned algorithmic decision-making at the heart of consequential outcomes, from criminal sentencing and credit scoring to healthcare allocation and employment screening. Yet the opacity of AI systems, combined with fragmented governa...
Nikita Sharma, Sandeep Saini· International Journal of Law...· 0 citations
The rapid evolution of artificial intelligence from an analytical tool to a generative agent has created a fundamental "pacing problem," where technological capabilities outstrip the statutory and doctrinal frameworks of intellectual property law. This article analyzes the resulting legal ambiguities and regulatory gap...
Vani Bhushan· Tribhuvan University Law Jou...· 0 citations
The intersection between AI and antitrust law is explored, analysing whether AI can be used to facilitate anti-competitive practices and to what extent algorithm-driven pricing mechanisms act autonomously and to what degree they may be intentionally influenced or optimized to benefit corporate interests.
By comparing Western-led governance frameworks with alternative state-centric regulatory models, the study evaluates whether localised AI development or international regulatory cooperation better addresses algorithmic bias, digital censorship, and human rights protections in an increasingly fragmented global AI order.
N. Lo· Asian journal of Law and Soc...· 0 citations
This presentation overviewed interactions between United States (U.S.) copyright law and artificial intelligence (AI). In recent years, extensive economic activity around AI surfaced new business-oriented issues, including new copyright issues. Throughout 2023 and 2024, the U.S. Copyright Office held listening sessions...