Keyword: Artificial intelligence
Toward a Critique of Algorithmic Violence external link
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
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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
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
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Trends and Developments in Artificial Intelligence: Challenges to Copyright external link
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
Trends and Developments in Artificial Intelligence: Challenges to the Intellectual Property Rights Framework: Final Report external link
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
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News Recommenders and Cooperative Explainability: Confronting the contextual complexity in AI explanations external link
Netherlands/Research external link
Abstract
How are AI-based systems being used by private companies and public authorities in Europe? The new report by AlgorithmWatch and Bertelsmann Stiftung sheds light on what role automated decision-making (ADM) systems play in our lives. As a result of the most comprehensive research on the issue conducted in Europe so far, the report covers the current use of and policy debates around ADM systems in 16 European countries and at EU level.
Artificial intelligence, automated decision making, frontpage, Technologie en recht
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Who is the fairest of them all? Public attitudes and expectations regarding automated decision-making external link
Abstract
The ongoing substitution of human decision makers by automated decision-making (ADM) systems in a whole range of areas raises the question of whether and, if so, under which conditions ADM is acceptable and fair. So far, this debate has been primarily led by academics, civil society, technology developers and members of the expert groups tasked to develop ethical guidelines for ADM. Ultimately, however, ADM affects citizens, who will live with, act upon and ultimately have to accept the authority of ADM systems.
The paper aims to contribute to this larger debate by providing deeper insights into the question of whether, and if so, why and under which conditions, citizens are inclined to accept ADM as fair. The results of a survey (N = 958) with a representative sample of the Dutch adult population, show that most respondents assume that AI-driven ADM systems are fairer than human decision-makers.
A more nuanced view emerges from an analysis of the responses, with emotions, expectations about AI being data- and calculation-driven, as well as the role of the programmer – among other dimensions – being cited as reasons for (un)fairness by AI or humans. Individual characteristics such as age and education level influenced not only perceptions about AI fairness, but also the reasons provided for such perceptions. The paper concludes with a normative assessment of the findings and suggestions for the future debate and research.
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Artificial intelligence, automated decision making, fairness, frontpage, Technologie en recht
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Auteursrecht op robotcreaties? Een analyse op basis van de incentivetheorie external link
Abstract
Vandaag de dag zijn teksten, schilderijen en liedjes niet noodzakelijkerwijs het resultaat van menselijke creativiteit. Geavanceerde robotsystemen zijn in staat om output te genereren die nauwelijks te onderscheiden is van de werken van makers van vlees en bloed. Dit doet de vraag rijzen of door robots gegenereerde creaties in aanmerking kunnen komen voor auteursrechtelijke bescherming. In de volgende analyse staat deze vraag centraal. Na een inleidende bespreking van het traditionele vereiste van menselijke creativiteit in het auteursrecht dienen de ratio’s van auteursrechtelijke bescherming – met name de economische incentivetheorie – als maatstaf om over nut en noodzaak van de toekenning van bescherming te beslissen. Voorts wordt aandacht besteed aan de vraag wie de houder van rechten op robotcreaties zou kunnen zijn. Ten slotte vindt een afweging plaats van de voor- en nadelen van bescherming, mede in het licht van de mogelijkheid om robotcreaties vrij te laten en het publieke domein te verrijken.
Artificial intelligence, Auteursrecht, creativiteit, frontpage, robotica