Copyright and Artificial Creation: Does EU Copyright Law Protect AI-Assisted Output? external link

IIC - International Review of Intellectual Property and Competition Law , vol. 52, num: 9, pp: 1190-1216, 2021

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.

Artificial intelligence, Auteursrecht, frontpage

RIS

Save .RIS

Bibtex

Save .bib

Panta Rhei: A European Perspective on Ensuring a High Level of Protection of Human Rights in a World in Which Everything Flows external link

Big Data and Global Trade Law, Cambridge University Press, 2021

Abstract

Human rights do remain valid currency in how we approach planetary-scale computation and accompanying data flows. Today’s system of human rights protection, however, is highly dependent on domestic legal institutions, which unravel faster than the reconstruction of fitting transnational governance institutions. The chapter takes a critical look at the construction of the data flow metaphor as a policy concept inside international trade law. Subsequently, it explores how the respect for human rights ties in with national constitutionalism that becomes increasingly challenged by the transnational dynamic of digital era transactions. Lastly, the chapter turns to international trade law and why its ambitions to govern cross-border data flows will likely not advance efforts to generate respect for human rights. In conclusion, the chapter advocates for a rebalancing act that recognizes human rights inside international trade law.

Artificial intelligence, EU law, frontpage, Human rights, Transparency, WTO law

RIS

Save .RIS

Bibtex

Save .bib

The commodification of trust external link

Blockchain & Society Policy Research Lab Research Nodes, num: 1, 2021

Abstract

Fundamental, wide-ranging, and highly consequential transformations take place in interpersonal, and systemic trust relations due to the rapid adoption of complex, planetary-scale digital technological innovations. Trust is remediated by planetary scale techno-social systems, which leads to the privatization of trust production in society, and the ultimate commodification of trust itself. Modern societies rely on communal, public and private logics of trust production. Communal logics produce trust by the group for the group, and are based on familiar, ethnic, religious or tribal relations, professional associations epistemic or value communities, groups with shared location or shared past. Public trust logics developed in the context of the modern state, and produce trust as a free public service. Abstract, institutionalized frameworks, institutions, such as the press, or public education, science, various arms of the bureaucratic state create familiarity, control, and insurance in social, political, and economic relations. Finally, private trust producers sell confidence as a product: lawyers, accountants, credit rating agencies, insurers, but also commercial brands offer trust for a fee. With the emergence of the internet and digitization, a new class of private trust producers emerged. Online reputation management services, distributed ledgers, and AI-based predictive systems are widely adopted technological infrastructures, which are designed to facilitate trust-necessitating social, economic interactions by controlling the past, the present and the future, respectively. These systems enjoy immense economic success, and they are adopted en masse by individuals and institutional actors alike. The emergence of the private, technical means of trust production paves the way towards the widescale commodification of trust, where trust is produced as a commercial activity, conducted by private parties, for economic gain, often far removed from the loci where trust-necessitating social interactions take place. The remediation and consequent privatization and commodification of trust production has a number of potentially adverse social effects: it may decontextualize trust relationships; it removes trust from the local social, cultural relational contexts; it changes the calculus of interpersonal trust relations. Maybe more importantly as more and more social and economic relations are conditional upon having access to, and good standing in private trust infrastructures, commodification turns trust into the question of continuous labor, or devastating exclusion. By invoking Karl Polanyi’s work on fictious commodities, I argue that the privatization, and commodification of trust may have a catastrophic impact on the most fundamental layers of the social fabric.

Artificial intelligence, blockchains, commodification, frontpage, Informatierecht, Karl Polanyi, reputation, trust, trust production

RIS

Save .RIS

Bibtex

Save .bib

Trends And Developments In Artificial Intelligence: Challenges To Patent Law external link

Artificial intelligence, EU law, frontpage, Patent law

RIS

Save .RIS

Bibtex

Save .bib

Toward a Critique of Algorithmic Violence external link

Bellanova, R., Irion, K., Lindskov Jacobsen, K., Ragazzi, F., Saugmann, R. & Suchman, L.
International Political Sociology, vol. 15, num: 1, pp: 121–150, 2021

Abstract

Questions about how algorithms contribute to (in)security are under discussion across international political sociology. Building upon and adding to these debates, our collective discussion foregrounds questions about algorithmic violence. We argue that it is important to examine how algorithmic systems feed (into) specific forms of violence, and how they justify violent actions or redefine what forms of violence are deemed legitimate. Bringing together different disciplinary and conceptual vantage points, this collective discussion opens a conversation about algorithmic violence focusing both on its specific instances and on the challenges that arise in conceptualizing and studying it. Overall, the discussion converges on three areas of concern—the violence undergirding the creation and feeding of data infrastructures; the translation processes at play in the use of computer/machine vision across diverse security practices; and the institutional governing of algorithmic violence, especially its organization, limitation, and legitimation.

affordences, algorithmic violence, Artificial intelligence, cloud computing, frontpage, governance, harm, interdisciplinary, machine learning

RIS

Save .RIS

Bibtex

Save .bib

AI Regulation in the European Union and Trade Law: How can accountability of AI and a high level of consumer protection prevail over a trade law discipline on source code?, study commissioned by the Vzbv, Amsterdam: Institute for Information Law, 2021 external link

2021

Abstract

The Federation of German Consumer Organisations (Verbraucherzentrale Bun-desverband – vzbv) has commissioned this study from the Institute for Information Law (IViR) at the University of Amsterdam, in order to shed light on the cross-border supply of AI technology and its impact on EU consumer rights. In the current negotiations on electronic commerce at the World Trade Organisation (WTO), the EU supports the introduction – in the legal text – of a clause which prohibits the participating countries to introduce – in their national laws – measures that require access to, or transfer of, the source code of software, with some exceptions. This is a cause for concern for experts and rights advocates, as such a clause – if not carefully conditioned – can prevent future EU regulation of AI that may be harmful to consumers. This study concludes that the source code clause within trade law indeed restricts the EU’s right to regulate in the field of AI governance in several important ways.

accountability, application programming interfaces, Artificial intelligence, auditability, Electronic commerce, EU consumer protection, frontpage, GATS, source code, transpareny, WTO law

RIS

Save .RIS

Bibtex

Save .bib

Trends and Developments in Artificial Intelligence: Challenges to Copyright external link

Kluwer Copyright Blog, 2020

Artificial intelligence, Auteursrecht, frontpage

RIS

Save .RIS

Bibtex

Save .bib

Panta rhei: A European Perspective on Ensuring a High-Level of Protection of Digital Human Rights in a World in Which Everything Flows external link

Amsterdam Law School Research Paper No. 2020, num: 38, 2020

Artificial intelligence, data flow, EU law, Human rights, WTO law

RIS

Save .RIS

Bibtex

Save .bib

Trends and Developments in Artificial Intelligence: Challenges to the Intellectual Property Rights Framework: Final Report external link

Hugenholtz, P.B., Quintais, J., Gervais, D.J., Hartmann, C. & Allan, J.
2020

Abstract

This report examines copyright and patent protection in Europe for AI-assisted outputs in general and in three priority domains: science (in particular, meteorology), media (journalism), and pharmaceutical research. It comprises an assessment of the state of the art of uses of AI in the three focus areas, and a legal analysis of how IP laws currently apply to AI-assisted creative and innovative outputs. The report concludes that the current state of the art in AI does not require or justify immediate substantive changes in copyright and patent law in Europe. The existing concepts of copyright and patent law are sufficiently abstract and flexible to meet the current challenges from AI. In addition, related rights regimes potentially extend to ‘authorless’ AI productions in a variety of sectors, and the sui generis database right may offer protection to AI-produced databases resulting from substantial investment. However, taking into account the practical implications of AI technologies, the report identifies specific avenues for future legal reform (if justified by empirical evidence), offers recommendations for improvements in the application of existing rules (e.g. via guidelines), and highlights the need to study the role of alternative IP regimes to protect AI-assisted outputs, such as trade secret protection, unfair competition and contract law.

Artificial intelligence, frontpage, Intellectuele eigendom

RIS

Save .RIS

Bibtex

Save .bib