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 (TDM)

RIS

Save .RIS

Bibtex

Save .bib

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

RIS

Save .RIS

Bibtex

Save .bib

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

RIS

Save .RIS

Bibtex

Save .bib

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

Kluwer Copyright Blog, 2022

Artificial intelligence, Auteursrecht, frontpage, muziek

RIS

Save .RIS

Bibtex

Save .bib

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

Kluwer Copyright Blog, 2022

Artificial intelligence, Copyright, frontpage, muziek

RIS

Save .RIS

Bibtex

Save .bib

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

RIS

Save .RIS

Bibtex

Save .bib

The Algorithmic Learning Deficit: Artificial Intelligence, Data Protection and Trade external link

Big Data and Global Trade Law, Mira Burri (ed.) Cambridge University Press, 2021, 0210, pp: 212-230

algorithms, Artificial intelligence, frontpage, handelsrecht, Recht op gegevensbescherming

RIS

Save .RIS

Bibtex

Save .bib

Trademark Law, AI-driven Behavioral Advertising, and the Digital Services Act: Toward Source and Parameter Transparency for Consumers, Brand Owners and Competitors external link

Research Handbook on Intellectual Property and Artificial Intelligence, Edward Elgar Publishing, 2022, pp: 309-324, ISBN: 9781800881891

Abstract

In its Proposal for a Digital Services Act (“DSA”), the European Commission highlighted the need for new transparency obligations to arrive at accountable digital services, ensure a fair environment for economic operators and empower consumers. However, the proposed new rules seem to focus on transparency measures for consumers. According to the DSA Proposal, platforms, such as online marketplaces, must ensure that platform users receive information enabling them to understand when and on whose behalf an advertisement is displayed, and which parameters are used to direct advertising to them, including explanations of the logic underlying systems for targeted advertising. Statements addressing the interests of trademark owners and trademark policy are sought in vain. Against this background, the analysis sheds light on AI-driven behavioural advertising practices and the policy considerations underlying the proposed new transparency obligations. In the light of the debate on trademark protection in keyword advertising cases, it will show that not only consumers but also trademark owners have a legitimate interest in receiving information on the parameters that are used to target consumers. The discussion will lead to the insight that lessons from the keyword advertising debate can play an important role in the transparency discourse because they broaden the spectrum of policy rationales and guidelines for new transparency rules. In addition to the current focus on consumer empowerment, the enhancement of information on alternative offers in the marketplace and the strengthening of trust in AI-driven, personalized advertising enter the picture. On balance, there are good reasons to broaden the scope of the DSA initiative and ensure access to transparency information for consumers and trademark owners alike.

Artificial intelligence, Trademark law

RIS

Save .RIS

Bibtex

Save .bib

‘Voetbal Hoort niet bij Robots’: Attitudes Regarding the Use of Artificial Intelligence in Refereeing download

Helberger, N. & Zarouali, B.
Intellectual Property and Sports: Essays in Honour of P. Bernt Hugenholtz, Wolters Kluwer, 2021, Series: Information Law Series, pp: 395-409, ISBN: 9789403537337

Artificial intelligence, hugenholtz league, Intellectuele eigendom, Kluwer Information Law Series, sports

RIS

Save .RIS

Bibtex

Save .bib

Governing “European values” inside data flows: : interdisciplinary perspectives external link

Irion, K., Kolk, A., Buri, M. & Milan, S.
Internet Policy Review, vol. 10, num: 3, 2021

Abstract

This editorial introduces ten research articles, which form part of this special issue, exploring the governance of “European values” inside data flows. Protecting fundamental human rights and critical public interests that undergird European societies in a global digital ecosystem poses complex challenges, especially because the United States and China are leading in novel technologies. We envision a research agenda calling upon different disciplines to further identify and understand European values that can adequately perform under conditions of transnational data flows.

Artificial intelligence, Data flows, Data governance, Digital connectivity, European Union, European values, Human rights, Internet governance, Personal data protection, Public policy, Societal values

RIS

Save .RIS

Bibtex

Save .bib