A Primer and FAQ on Copyright Law and Generative AI for News Media external link

Quintais, J. & Diakopoulos, N.
2023

Artificial intelligence, Copyright, Media law, news

Bibtex

Online publication{nokey, title = {A Primer and FAQ on Copyright Law and Generative AI for News Media}, author = {Quintais, J. and Diakopoulos, N.}, url = {https://generative-ai-newsroom.com/a-primer-and-faq-on-copyright-law-and-generative-ai-for-news-media-f1349f514883}, year = {2023}, date = {2023-04-26}, keywords = {Artificial intelligence, Copyright, Media law, news}, }

Outsourcing Human Rights Obligations and Concealing Human Rights Deficits: The Example of Monetizing User-Generated Content Under the CDSM Directive and the Digital Services Act external link

Senftleben, M., Quintais, J. & Meiring, A.

Abstract

With the shift from the traditional safe harbor for hosting to statutory content filtering and licensing obligations, EU copyright law has substantially curtailed the freedom of users to upload and share their content creations. Seeking to avoid overbroad inroads into freedom of expression, EU law obliges online platforms and the creative industry to take into account human rights when coordinating their content filtering actions. Platforms must also establish complaint and redress procedures for users. The European Commission will initiate stakeholder dialogues to identify best practices. These “safety valves” in the legislative package, however, are mere fig leaves. Instead of safeguarding human rights, the EU legislator outsources human rights obligations to the platform industry. At the same time, the burden of policing content moderation systems is imposed on users who are unlikely to bring complaints in each individual case. The new legislative design in the EU will thus “conceal” human rights violations instead of bringing them to light. Nonetheless, the DSA rests on the same – highly problematic – approach. Against this background, the paper discusses the weakening – and potential loss – of fundamental freedoms as a result of the departure from the traditional notice-and-takedown approach. Adding a new element to the ongoing debate on content licensing and filtering, the analysis will devote particular attention to the fact that EU law, for the most part, has left untouched the private power of platforms to determine the “house rules” governing the most popular copyright-owner reaction to detected matches between protected works and content uploads: the (algorithmic) monetization of that content. Addressing the “legal vacuum” in the field of content monetization, the analysis explores outsourcing and concealment risks in this unregulated space. Focusing on large-scale platforms for user-generated content, such as YouTube, Instagram and TikTok, two normative problems come to the fore: (1) the fact that rightholders, when opting for monetization, de facto monetize not only their own rights but also the creative input of users; (2) the fact that user creativity remains unremunerated as long as the monetization option is only available to rightholders. As a result of this configuration, the monetization mechanism disregards users’ right to (intellectual) property and discriminates against user creativity. Against this background, we discuss whether the DSA provisions that seek to ensure transparency of content moderation actions and terms and conditions offer useful sources of information that could empower users. Moreover, we raise the question whether the detailed regulation of platform actions in the DSA may resolve the described human rights dilemmas to some extent.

Artificial intelligence, Content moderation, Copyright, derivative works, discrimination, Freedom of expression, Human rights, liability, user-generated content

Bibtex

Online publication{nokey, title = {Outsourcing Human Rights Obligations and Concealing Human Rights Deficits: The Example of Monetizing User-Generated Content Under the CDSM Directive and the Digital Services Act}, author = {Senftleben, M. and Quintais, J. and Meiring, A.}, url = {https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4421150}, year = {}, date = {DATE ERROR: pub_date = }, abstract = {With the shift from the traditional safe harbor for hosting to statutory content filtering and licensing obligations, EU copyright law has substantially curtailed the freedom of users to upload and share their content creations. Seeking to avoid overbroad inroads into freedom of expression, EU law obliges online platforms and the creative industry to take into account human rights when coordinating their content filtering actions. Platforms must also establish complaint and redress procedures for users. The European Commission will initiate stakeholder dialogues to identify best practices. These “safety valves” in the legislative package, however, are mere fig leaves. Instead of safeguarding human rights, the EU legislator outsources human rights obligations to the platform industry. At the same time, the burden of policing content moderation systems is imposed on users who are unlikely to bring complaints in each individual case. The new legislative design in the EU will thus “conceal” human rights violations instead of bringing them to light. Nonetheless, the DSA rests on the same – highly problematic – approach. Against this background, the paper discusses the weakening – and potential loss – of fundamental freedoms as a result of the departure from the traditional notice-and-takedown approach. Adding a new element to the ongoing debate on content licensing and filtering, the analysis will devote particular attention to the fact that EU law, for the most part, has left untouched the private power of platforms to determine the “house rules” governing the most popular copyright-owner reaction to detected matches between protected works and content uploads: the (algorithmic) monetization of that content. Addressing the “legal vacuum” in the field of content monetization, the analysis explores outsourcing and concealment risks in this unregulated space. Focusing on large-scale platforms for user-generated content, such as YouTube, Instagram and TikTok, two normative problems come to the fore: (1) the fact that rightholders, when opting for monetization, de facto monetize not only their own rights but also the creative input of users; (2) the fact that user creativity remains unremunerated as long as the monetization option is only available to rightholders. As a result of this configuration, the monetization mechanism disregards users’ right to (intellectual) property and discriminates against user creativity. Against this background, we discuss whether the DSA provisions that seek to ensure transparency of content moderation actions and terms and conditions offer useful sources of information that could empower users. Moreover, we raise the question whether the detailed regulation of platform actions in the DSA may resolve the described human rights dilemmas to some extent.}, keywords = {Artificial intelligence, Content moderation, Copyright, derivative works, discrimination, Freedom of expression, Human rights, liability, user-generated content}, }

ChatGPT and the AI Act external link

Helberger, N. & Diakopoulos, N.
Internet Policy Review, vol. 12, iss. : 1, 2023

Abstract

It is not easy being a tech regulator these days. The European institutions are working hard towards finalising the AI Act in autumn, and then generative AI systems like ChatGPT come along! In this essay, we comment the European AI Act by arguing that its current risk-based approach is too limited for facing ChatGPT & co.

Artificial intelligence, ChatGPT

Bibtex

Article{nokey, title = {ChatGPT and the AI Act}, author = {Helberger, N. and Diakopoulos, N.}, url = {https://policyreview.info/essay/chatgpt-and-ai-act}, doi = {https://doi.org/10.14763/2023.1.1682}, year = {2023}, date = {2023-02-16}, journal = {Internet Policy Review}, volume = {12}, issue = {1}, pages = {}, abstract = {It is not easy being a tech regulator these days. The European institutions are working hard towards finalising the AI Act in autumn, and then generative AI systems like ChatGPT come along! In this essay, we comment the European AI Act by arguing that its current risk-based approach is too limited for facing ChatGPT & co.}, keywords = {Artificial intelligence, ChatGPT}, }

Towards a Normative Perspective on Journalistic
AI: Embracing the Messy Reality of Normative
Ideals
download

Helberger, N., Drunen, M. van, Möller, J., Vrijenhoek, S. & Eskens, S.
Digital Journalism, vol. 10, iss. : 10, pp: 1605-1626, 2022

Abstract

Few would disagree that AI systems and applications need to be “responsible,” but what is “responsible” and how to answer that question? Answering that question requires a normative perspective on the role of journalistic AI and the values it shall serve. Such a perspective needs to be grounded in a broader normative framework and a thorough understanding of the dynamics and complexities of journalistic AI at the level of people, newsrooms and media markets. This special issue aims to develop such a normative perspective on the use of AI-driven tools in journalism and the role of digital journalism studies in advancing that perspective. The contributions in this special issue combine conceptual, organisational and empirical angles to study the challenges involved in actively using AI to promote editorial values, the powers at play, the role of economic and regulatory conditions, and ways of bridging academic ideals and the messy reality of the real world. This editorial brings the different contributions into conversation, situates them in the broader digital journalism studies scholarship and identifies seven key-take aways.

Artificial intelligence, governance, Journalism, Media law, normative perspective, professional values, Regulation

Bibtex

Article{nokey, title = {Towards a Normative Perspective on JournalisticAI: Embracing the Messy Reality of NormativeIdeals}, author = {Helberger, N. and Drunen, M. van and Möller, J. and Vrijenhoek, S. and Eskens, S.}, url = {https://www.ivir.nl/nl/publications/towards-a-normative-perspective-on-journalisticai-embracing-the-messy-reality-of-normativeideals/digital_journalism_2022_10/}, doi = {https://doi.org/10.1080/21670811.2022.2152195}, year = {2022}, date = {2022-12-22}, journal = {Digital Journalism}, volume = {10}, issue = {10}, pages = {1605-1626}, abstract = {Few would disagree that AI systems and applications need to be “responsible,” but what is “responsible” and how to answer that question? Answering that question requires a normative perspective on the role of journalistic AI and the values it shall serve. Such a perspective needs to be grounded in a broader normative framework and a thorough understanding of the dynamics and complexities of journalistic AI at the level of people, newsrooms and media markets. This special issue aims to develop such a normative perspective on the use of AI-driven tools in journalism and the role of digital journalism studies in advancing that perspective. The contributions in this special issue combine conceptual, organisational and empirical angles to study the challenges involved in actively using AI to promote editorial values, the powers at play, the role of economic and regulatory conditions, and ways of bridging academic ideals and the messy reality of the real world. This editorial brings the different contributions into conversation, situates them in the broader digital journalism studies scholarship and identifies seven key-take aways.}, keywords = {Artificial intelligence, governance, Journalism, Media law, normative perspective, professional values, Regulation}, }

Compliance of National TDM Rules with International Copyright Law: An Overrated Nonissue? external link

IIC - International Review of Intellectual Property and Competition Law, vol. 53, pp: 1477-1505, 2022

Abstract

Seeking to devise an adequate regulatory framework for text and data mining (TDM), countries around the globe have adopted different approaches. While considerable room for TDM can follow from the application of fair use provisions (US) and broad statutory exemptions (Japan), countries in the EU rely on a more restrictive regulation that is based on specific copyright exceptions. Surveying this spectrum of existing approaches, lawmakers in countries seeking to devise an appropriate TDM regime may wonder whether the adoption of a restrictive approach is necessary in the light of international copyright law. In particular, they may feel obliged to ensure compliance with the three-step test laid down in Art. 9(2) of the Berne Convention, Art. 13 of the TRIPS Agreement and Art. 10 of the WIPO Copyright Treaty. Against this background, the analysis raises the question whether international copyright law covers TDM activities at all. TDM does not concern a traditional category of use that could have been contemplated at the diplomatic conferences leading to the current texts of the Berne Convention, the TRIPS Agreement and the WIPO Copyright Treaty. It is an automated, analytical type of use that does not affect the expressive core of literary and artistic works. Arguably, TDM constitutes a new category of copying that falls outside the scope of international copyright harmonization altogether.

Artificial intelligence, Auteursrecht, text and data mining

Bibtex

Article{nokey, title = {Compliance of National TDM Rules with International Copyright Law: An Overrated Nonissue?}, author = {Senftleben, M.}, url = {https://link.springer.com/article/10.1007/s40319-022-01266-8}, doi = {https://doi.org/10.1007/s40319-022-01266-8}, year = {2022}, date = {2022-11-25}, journal = {IIC - International Review of Intellectual Property and Competition Law}, volume = {53}, pages = {1477-1505}, abstract = {Seeking to devise an adequate regulatory framework for text and data mining (TDM), countries around the globe have adopted different approaches. While considerable room for TDM can follow from the application of fair use provisions (US) and broad statutory exemptions (Japan), countries in the EU rely on a more restrictive regulation that is based on specific copyright exceptions. Surveying this spectrum of existing approaches, lawmakers in countries seeking to devise an appropriate TDM regime may wonder whether the adoption of a restrictive approach is necessary in the light of international copyright law. In particular, they may feel obliged to ensure compliance with the three-step test laid down in Art. 9(2) of the Berne Convention, Art. 13 of the TRIPS Agreement and Art. 10 of the WIPO Copyright Treaty. Against this background, the analysis raises the question whether international copyright law covers TDM activities at all. TDM does not concern a traditional category of use that could have been contemplated at the diplomatic conferences leading to the current texts of the Berne Convention, the TRIPS Agreement and the WIPO Copyright Treaty. It is an automated, analytical type of use that does not affect the expressive core of literary and artistic works. Arguably, TDM constitutes a new category of copying that falls outside the scope of international copyright harmonization altogether.}, keywords = {Artificial intelligence, Auteursrecht, text and data mining}, }

Algorithmic propagation: do property rights in data increase bias in content moderation? – Part II external link

Margoni, T., Quintais, J. & Schwemer, S.
Kluwer Copyright Blog, 2022

Art. 17 CDSM Directive, Artificial intelligence, Auteursrecht, frontpage

Bibtex

Article{nokey, title = {Algorithmic propagation: do property rights in data increase bias in content moderation? – Part II}, author = {Margoni, T. and Quintais, J. and Schwemer, S.}, url = {http://copyrightblog.kluweriplaw.com/2022/06/09/algorithmic-propagation-do-property-rights-in-data-increase-bias-in-content-moderation-part-ii/}, year = {0609}, date = {2022-06-09}, journal = {Kluwer Copyright Blog}, keywords = {Art. 17 CDSM Directive, Artificial intelligence, Auteursrecht, frontpage}, }

Algorithmic propagation: do property rights in data increase bias in content moderation? Part I external link

Margoni, T., Quintais, J. & Schwemer, S.
Kluwer Copyright Blog, 2022

algoritmes, Art. 17 CDSM Directive, Artificial intelligence, Auteursrecht, Europees recht, frontpage

Bibtex

Article{nokey, title = {Algorithmic propagation: do property rights in data increase bias in content moderation? Part I}, author = {Margoni, T. and Quintais, J. and Schwemer, S.}, url = {http://copyrightblog.kluweriplaw.com/2022/06/08/algorithmic-propagation-do-property-rights-in-data-increase-bias-in-content-moderation-part-i/}, year = {0608}, date = {2022-06-08}, journal = {Kluwer Copyright Blog}, keywords = {algoritmes, Art. 17 CDSM Directive, Artificial intelligence, Auteursrecht, Europees recht, frontpage}, }

AI Music Outputs: Challenges to the Copyright Legal Framework – Part II external link

Kluwer Copyright Blog, 2022

Artificial intelligence, Auteursrecht, frontpage, muziek

Bibtex

Article{nokey, title = {AI Music Outputs: Challenges to the Copyright Legal Framework – Part II}, author = {Bulayenko, O. and Poort, J. and Quintais, J. and Gervais, D.J.}, url = {http://copyrightblog.kluweriplaw.com/2022/04/25/ai-music-outputs-challenges-to-the-copyright-legal-framework-part-ii/}, year = {0502}, date = {2022-05-02}, journal = {Kluwer Copyright Blog}, keywords = {Artificial intelligence, Auteursrecht, frontpage, muziek}, }

AI Music Outputs: Challenges to the Copyright Legal Framework – Part I external link

Kluwer Copyright Blog, 2022

Artificial intelligence, Copyright, frontpage, muziek

Bibtex

Article{nokey, title = {AI Music Outputs: Challenges to the Copyright Legal Framework – Part I}, author = {Bulayenko, O. and Quintais, J. and Poort, J. and Gervais, D.J.}, url = {http://copyrightblog.kluweriplaw.com/2022/04/22/ai-music-outputs-challenges-to-the-copyright-legal-framework-part-i/}, year = {0422}, date = {2022-04-22}, journal = {Kluwer Copyright Blog}, keywords = {Artificial intelligence, Copyright, frontpage, muziek}, }

AI Music Outputs: Challenges to the Copyright Legal Framework download

2022

Abstract

This report examines the application of EU copyright and related rights law to outputs generated by or with the assistance of artificial intelligence (AI) systems, tools or techniques (AI outputs), with a focus on outputs in the musical domain. The Report examines the question: How can and should EU copyright and related rights law protect AI musical outputs? The interdisciplinary (legal and empirical) research involves: (i) analyzing of the protection of AI outputs under EU copyright and related rights law; (ii) examining the attribution of authorship and ownership to (natural and legal) persons involved in the creation or production of AI outputs; (iii) proposing interpretative guidelines and policy recommendations on increasing legal certainty regarding the protection, authorship, and ownership of copyright and related rights over AI outputs, especially music outputs.

Artificial intelligence, computer-generated works, Copyright, EU, Intellectual property, music, originality, related rights

Bibtex

Report{nokey, title = {AI Music Outputs: Challenges to the Copyright Legal Framework}, author = {Bulayenko, O. and Quintais, J. and Gervais, D.J. and Poort, J.}, url = {https://www.ivir.nl/nl/publications/ai-music-outputs-challenges-to-the-copyright-legal-framework/870626_d3-5-final-report-on-the-impact-of-ia-authorship_formatted-1/}, doi = {https://doi.org/10.5281/zenodo.6405796}, year = {2022}, date = {2022-04-01}, abstract = {This report examines the application of EU copyright and related rights law to outputs generated by or with the assistance of artificial intelligence (AI) systems, tools or techniques (AI outputs), with a focus on outputs in the musical domain. The Report examines the question: How can and should EU copyright and related rights law protect AI musical outputs? The interdisciplinary (legal and empirical) research involves: (i) analyzing of the protection of AI outputs under EU copyright and related rights law; (ii) examining the attribution of authorship and ownership to (natural and legal) persons involved in the creation or production of AI outputs; (iii) proposing interpretative guidelines and policy recommendations on increasing legal certainty regarding the protection, authorship, and ownership of copyright and related rights over AI outputs, especially music outputs.}, keywords = {Artificial intelligence, computer-generated works, Copyright, EU, Intellectual property, music, originality, related rights}, }