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

Kluwer Copyright Blog, 2020

Artificial intelligence, Auteursrecht, frontpage

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The freedom of expression perspectives on intellectual property in Europe

Abstract

PhD thesis, CEIPI, Strasbourg.

Europe, Freedom of expression, Intellectual property

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Personal Data Stores: a user-centric privacy utopia? external link

Janssen, H., Cobbe, J. & Singh, J.
Internet Policy Review, 2021

Privacy

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Decentralised Data Processing: Personal Data Stores and the GDPR external link

Janssen, H., Cobbe, J., Norval, C. & Singh, J.
International Data Privacy Law, vol. 10, num: 4, pp: 356-384, 2021

Abstract

When it comes to online services, users have limited control over how their personal data is processed. This is partly due to the nature of the business models of those services, where data is typically stored and aggregated in data centres. This has recently led to the development of technologies aiming at leveraging user control over the processing of their personal data. Personal Data Stores (“PDSs”) represent a class of these technologies; PDSs provide users with a device, enabling them to capture, aggregate and manage their personal data. The device provides tools for users to control and monitor access, sharing and computation over data on their device. The motivation for PDSs are described as (i) to assist users with their confidentiality and privacy concerns, and/or (ii) to provide opportunities for users to transact with or otherwise monetise their data. While PDSs potentially might enable some degree of user empowerment, they raise interesting considerations and uncertainties in relation to the responsibilities under the General Data Protection Regulation (GDPR). More specifically, the designations of responsibilities among key parties involved in PDS ecosystems are unclear. Further, the technical architecture of PDSs appears to restrict certain lawful grounds for processing, while technical means to identify certain category data, as proposed by some, may remain theoretical. We explore the considerations, uncertainties, and limitations of PDSs with respect to some key obligations under the GDPR. As PDS technologies continue to develop and proliferate, potentially providing an alternative to centralised approaches to data processing, we identify issues which require consideration by regulators, PDS platform providers and technologists.

GDPR, Privacy

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Centering the Law in the Digital State external link

Cobbe, J., Seng Ah Lee, M., Singh, J. & Janssen, H.
Computer, vol. 53, num: 10, pp: 47-58, 2020

Abstract

Driven by the promise of increased efficiencies and cost-savings, the public sector has shown much interest in automated decision-making (ADM) technologies. However, the rule of law and fundamental principles of good government are being lost along the way.

automated decision making

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An approach to a fundamental rights impact assessment to automated decision-making external link

International Data Privacy Law, vol. 10, num: 1, pp: 76-106, 2020

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Companies and other private institutions see great and promising profits in the use of automated decision-making (‘ADM’) for commercial-, financial- or efficiency in work processing purposes. Meanwhile, ADM based on a data subjects’ personal data may (severely) impact its fundamental rights and freedoms. The General Data Protection Regulation (GDPR) provides for a regulatory framework that applies whenever a controller considers and deploys ADM onto individuals on the basis of their personal data. In the design stage of the intended ADM, article 35 (3)(a) obliges a controller to apply a Data Protection Impact Assessment (DPIA), part of which is an assessment of ADM’s impact on individual rights and freedoms. Article 22 GDPR determines under what conditions ADM is allowed and endows data subjects with increased protection. Research among companies of various sizes has shown that there is (legal) insecurity about the interpretation of the GDPR (including the provisions relevant to ADM). The first objective of the author is to detect ways forward by offering practical handles to execute a DPIA that includes a slidable assessment of impacts on data subjects’ fundamental rights. This assessment is based on four benchmarks that should help to assess the gravity of potential impacts, i.e. i) to determine the impact on the fundamental right(s) at stake, ii) to establish the context in which the ADM is used, iii) the establishment of who is beneficiary of the use of personal data in the ADM and iv) the establishment who is in control over the data flows in the ADM. From the benchmarks an overall fundamental rights impact assessment about ADM should arise. A second objective is to indicate potential factors and measures that a controller should consider in its risk management after the assessment. The proposed approach should help fostering fair, compliant and trustworthy ADM and contains directions for future research.

automated decision making, Fundamental rights, horizontal relations, impact assessment

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Constitutionele Interpretatie. Een rechtsvergelijkend onderzoek naar de vaststelling van de reikwijdte van het recht op persoonlijkheid external link

pp: 495, 2003

Persoonlijkheidsrechten, Privacy, rechtsvergelijking

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Can scholarly pirate libraries bridge the knowledge access gap? An empirical study on the structural conditions of book piracy in global and European academia external link

Bodó, B., Antal, D. & Puha, Z.
PLoS ONE, vol. 15, num: 12, 2020

Abstract

Library Genesis is one of the oldest and largest illegal scholarly book collections online. Without the authorization of copyright holders, this shadow library hosts and makes more than 2 million scholarly publications, monographs, and textbooks available. This paper analyzes a set of weblogs of one of the Library Genesis mirrors, provided to us by one of the service’s administrators. We reconstruct the social and economic factors that drive the global and European demand for illicit scholarly literature. In particular, we test if lower income regions can compensate for the shortcomings in legal access infrastructures by more intensive use of illicit open resources. We found that while richer regions are the most intensive users of shadow libraries, poorer regions face structural limitations that prevent them from fully capitalizing on freely accessible knowledge. We discuss these findings in the wider context of open access publishing, and point out that open access knowledge, if not met with proper knowledge absorption infrastructures, has limited usefulness in addressing knowledge access and production inequalities.

Auteursrecht, frontpage, Internet, knowledge gap, libraries, piraterij

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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

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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

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