Towards a European Research Freedom Act: A Reform Agenda for Research Exceptions in the EU Copyright Acquis external link

2025

Abstract

This article explores the impact of EU copyright law on the use of protected knowledge resources in scientific research contexts. Surveying the current copyright/research interface, it becomes apparent that the existing legal framework fails to offer adequate balancing tools for the reconciliation of divergent interests of copyright holders and researchers. The analysis identifies structural deficiencies, such as fragmented and overly restrictive research exceptions, opaque lawful access provisions, outdated non-commercial use requirements, legal uncertainty arising from the three-step test in the EU copyright acquis, obstacles posed by the protection of paywalls and other technological measures, and exposure to contracts that override statutory research freedoms. Empirical data confirm that access barriers, use restrictions and the absence of harmonised rules for transnational research collaborations impede the work of researchers. Against this background, we advance proposals for legislative reform, in particular the introduction of a mandatory, open-ended research exemption that offers reliable breathing space for scientific research across EU Member States, the clarification of lawful access criteria, a more flexible approach to public-private partnerships, and additional rules that support modern research methods, such as text and data mining.

Copyright, open science, research exceptions, right to research, technological protection measures, text and data mining, three-step test

Bibtex

Online publication{nokey, title = {Towards a European Research Freedom Act: A Reform Agenda for Research Exceptions in the EU Copyright Acquis}, author = {Senftleben, M. and Szkalej, K. and Sganga, C. and Margoni, T.}, url = {https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5130069}, year = {2025}, date = {2025-02-11}, abstract = {This article explores the impact of EU copyright law on the use of protected knowledge resources in scientific research contexts. Surveying the current copyright/research interface, it becomes apparent that the existing legal framework fails to offer adequate balancing tools for the reconciliation of divergent interests of copyright holders and researchers. The analysis identifies structural deficiencies, such as fragmented and overly restrictive research exceptions, opaque lawful access provisions, outdated non-commercial use requirements, legal uncertainty arising from the three-step test in the EU copyright acquis, obstacles posed by the protection of paywalls and other technological measures, and exposure to contracts that override statutory research freedoms. Empirical data confirm that access barriers, use restrictions and the absence of harmonised rules for transnational research collaborations impede the work of researchers. Against this background, we advance proposals for legislative reform, in particular the introduction of a mandatory, open-ended research exemption that offers reliable breathing space for scientific research across EU Member States, the clarification of lawful access criteria, a more flexible approach to public-private partnerships, and additional rules that support modern research methods, such as text and data mining.}, keywords = {Copyright, open science, research exceptions, right to research, technological protection measures, text and data mining, three-step test}, }

Generative AI and Author Remuneration

IIC, vol. 54, pp: 1535-1560, 2023

Abstract

With the evolution of generative AI systems, machine-made productions in the literary and artistic field have reached a level of refinement that allows them to replace human creations. The increasing sophistication of AI systems will inevitably disrupt the market for human literary and artistic works. Generative AI systems provide literary and artistic output much faster and cheaper. It is therefore foreseeable that human authors will be exposed to substitution effects. They may lose income as they are replaced by machines in sectors ranging from journalism and writing to music and visual arts. Considering this trend, the question arises whether it is advisable to take measures to compensate human authors for the reduction in their market share and income. Copyright law could serve as a tool to introduce an AI levy system and ensure the payment of equitable remuneration. In combination with mandatory collective rights management, the new revenue stream could be used to finance social and cultural funds that improve the working and living conditions of flesh-and-blood authors.

collective rights management, Copyright, Freedom of expression, text and data mining, three-step test

Bibtex

Article{nokey, title = {Generative AI and Author Remuneration}, author = {Senftleben, M.}, doi = {https://doi.org/10.1007/s40319-023-01399-4}, year = {2023}, date = {2023-11-07}, journal = {IIC}, volume = {54}, pages = {1535-1560}, abstract = {With the evolution of generative AI systems, machine-made productions in the literary and artistic field have reached a level of refinement that allows them to replace human creations. The increasing sophistication of AI systems will inevitably disrupt the market for human literary and artistic works. Generative AI systems provide literary and artistic output much faster and cheaper. It is therefore foreseeable that human authors will be exposed to substitution effects. They may lose income as they are replaced by machines in sectors ranging from journalism and writing to music and visual arts. Considering this trend, the question arises whether it is advisable to take measures to compensate human authors for the reduction in their market share and income. Copyright law could serve as a tool to introduce an AI levy system and ensure the payment of equitable remuneration. In combination with mandatory collective rights management, the new revenue stream could be used to finance social and cultural funds that improve the working and living conditions of flesh-and-blood authors.}, keywords = {collective rights management, Copyright, Freedom of expression, text and data mining, three-step test}, }