Keyword: Artificial intelligence
Algorithmic propagation: do property rights in data increase bias in content moderation? Part I external link
algoritmes, Art. 17 CDSM Directive, Artificial intelligence, Auteursrecht, Europees recht, frontpage
RIS
Bibtex
AI Music Outputs: Challenges to the Copyright Legal Framework – Part II external link
AI Music Outputs: Challenges to the Copyright Legal Framework – Part I external link
AI Music Outputs: Challenges to the Copyright Legal Framework download
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.
Links
Artificial intelligence, computer-generated works, Copyright, EU, Intellectual property, music, originality, related rights
RIS
Bibtex
The Algorithmic Learning Deficit: Artificial Intelligence, Data Protection and Trade external link
Links
algorithms, Artificial intelligence, frontpage, handelsrecht, Recht op gegevensbescherming
RIS
Bibtex
Trademark Law, AI-driven Behavioral Advertising, and the Digital Services Act: Toward Source and Parameter Transparency for Consumers, Brand Owners and Competitors external link
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.
Links
Artificial intelligence, Trademark law
RIS
Bibtex
‘Voetbal Hoort niet bij Robots’: Attitudes Regarding the Use of Artificial Intelligence in Refereeing download
Governing “European values” inside data flows: : interdisciplinary perspectives external link
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
Bibtex
Copyright and Artificial Creation: Does EU Copyright Law Protect AI-Assisted Output? external link
Abstract
This article queries whether and to what extent works produced with the aid of AI systems – AI-assisted output – are protected under EU copyright standards. We carry out a doctrinal legal analysis to scrutinise the concepts of “work”, “originality” and “creative freedom”, as well as the notion of authorship, as set forth in the EU copyright acquis and developed in the case-law of the Court of Justice. On this basis, we develop a four-step test to assess whether AI-assisted output qualifies as an original work of authorship under EU law, and how the existing rules on authorship may apply. Our conclusion is that current EU copyright rules are generally suitable and sufficiently flexible to deal with the challenges posed by AI-assisted output.
Links
Artificial intelligence, Auteursrecht, frontpage