Keyword: Artificial intelligence
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
Bibtex
Article{Irion2020d,
title = {Panta rhei: A European Perspective on Ensuring a High-Level of Protection of Digital Human Rights in a World in Which Everything Flows},
author = {Irion, K.},
url = {https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3638864},
year = {2020},
date = {2020-11-30},
journal = {Amsterdam Law School Research Paper No. 2020},
number = {38},
keywords = {Artificial intelligence, data flow, EU law, Human rights, WTO law},
} Trends and Developments in Artificial Intelligence: Challenges to the Intellectual Property Rights Framework: Final Report external link
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
Bibtex
Report{Hugenholtz2020f,
title = {Trends and Developments in Artificial Intelligence: Challenges to the Intellectual Property Rights Framework: Final Report},
author = {Hugenholtz, P. and Quintais, J. and Gervais, D.J. and Hartmann, C. and Allan, J.},
url = {https://op.europa.eu/en/publication-detail/-/publication/394345a1-2ecf-11eb-b27b-01aa75ed71a1/language-en
https://www.ivir.nl/publicaties/download/Trends_and_Developments_in_Artificial_Intelligence-1.pdf},
year = {1127},
date = {2020-11-27},
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.},
keywords = {Artificial intelligence, frontpage, Intellectuele eigendom},
} Who is the fairest of them all? Public attitudes and expectations regarding automated decision-making external link
Helberger, N., Araujo, T. & Vreese, C.H. de
Computer Law & Security Review, vol. 39, 2020
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.
Links
Artificial intelligence, automated decision making, fairness, frontpage, Technologie en recht
Bibtex
Article{Helberger2020f,
title = {Who is the fairest of them all? Public attitudes and expectations regarding automated decision-making},
author = {Helberger, N. and Araujo, T. and Vreese, C.H. de},
url = {https://www.sciencedirect.com/science/article/pii/S0267364920300613?dgcid=author},
doi = {https://doi.org/https://doi.org/10.1016/j.clsr.2020.105456},
year = {0915},
date = {2020-09-15},
journal = {Computer Law & Security Review},
volume = {39},
pages = {},
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.},
keywords = {Artificial intelligence, automated decision making, fairness, frontpage, Technologie en recht},
} Auteursrecht op robotcreaties? Een analyse op basis van de incentivetheorie external link
Buijtelaar, L.D. & Senftleben, M.
AMI, num: 3-4, pp: 77-93, 2020
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
Bibtex
Article{Buijtelaar2020,
title = {Auteursrecht op robotcreaties? Een analyse op basis van de incentivetheorie},
author = {Buijtelaar, L.D. and Senftleben, M.},
url = {https://www.ivir.nl/publicaties/download/AMI_2020_3_4_77.pdf},
year = {0724},
date = {2020-07-24},
journal = {AMI},
number = {3-4},
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.},
keywords = {Artificial intelligence, Auteursrecht, creativiteit, frontpage, robotica},
} Implementing User Rights for Research in the Field of Artificial Intelligence: A Call for Action at International Level external link
Flynn, S., Geiger, C. & Quintais, J.
Kluwer Copyright Blog, 2020
Abstract
A version of this post was also published on the InfoJustice website: http://infojustice.org/archives/42260
Artificial intelligence, Auteursrecht, frontpage
Bibtex
Article{Flynn2020c,
title = {Implementing User Rights for Research in the Field of Artificial Intelligence: A Call for Action at International Level},
author = {Flynn, S. and Geiger, C. and Quintais, J.},
url = {http://copyrightblog.kluweriplaw.com/2020/04/21/implementing-user-rights-for-research-in-the-field-of-artificial-intelligence-a-call-for-action-at-international-level/
http://infojustice.org/archives/42260},
year = {0421},
date = {2020-04-21},
journal = {Kluwer Copyright Blog},
abstract = {A version of this post was also published on the InfoJustice website: http://infojustice.org/archives/42260},
keywords = {Artificial intelligence, Auteursrecht, frontpage},
} Implementing User Rights for Research in the Field of Artificial Intelligence: A Call for International Action external link
European Intellectual Property Review, vol. 2020, num: 7, 2020
Abstract
Last year, before the onset of a global pandemic highlighted the critical and urgent need for technology-enabled scientific research, the World Intellectual Property Organization (WIPO) launched an inquiry into issues at the intersection of intellectual property (IP) and artificial intelligence (AI). We contributed comments to that inquiry, with a focus on the application of copyright to the use of text and data mining (TDM) technology. This article describes some of the most salient points of our submission and concludes by stressing the need for international leadership on this important topic. WIPO could help fill the current gap on international leadership, including by providing guidance on the diverse mechanisms that countries may use to authorize TDM research and serving as a forum for the adoption of rules permitting cross-border TDM projects.
Artificial intelligence, Auteursrecht, frontpage, machine learning, tdm, text and data mining
Bibtex
Article{Flynn2020b,
title = {Implementing User Rights for Research in the Field of Artificial Intelligence: A Call for International Action},
author = {Flynn, S. and Geiger, C. and Quintais, J. and Margoni, T. and Sag, M. and Guibault, L. and Carroll, M.},
url = {https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3578819},
year = {0421},
date = {2020-04-21},
journal = {European Intellectual Property Review},
volume = {2020},
number = {7},
pages = {},
abstract = {Last year, before the onset of a global pandemic highlighted the critical and urgent need for technology-enabled scientific research, the World Intellectual Property Organization (WIPO) launched an inquiry into issues at the intersection of intellectual property (IP) and artificial intelligence (AI). We contributed comments to that inquiry, with a focus on the application of copyright to the use of text and data mining (TDM) technology. This article describes some of the most salient points of our submission and concludes by stressing the need for international leadership on this important topic. WIPO could help fill the current gap on international leadership, including by providing guidance on the diverse mechanisms that countries may use to authorize TDM research and serving as a forum for the adoption of rules permitting cross-border TDM projects.},
keywords = {Artificial intelligence, Auteursrecht, frontpage, machine learning, tdm, text and data mining},
} Strengthening legal protection against discrimination by algorithms and artificial intelligence external link
The International Journal of Human Rights, 2020
Abstract
Algorithmic decision-making and other types of artificial intelligence (AI) can be used to predict who will commit crime, who will be a good employee, who will default on a loan, etc. However, algorithmic decision-making can also threaten human rights, such as the right to non-discrimination. The paper evaluates current legal protection in Europe against discriminatory algorithmic decisions. The paper shows that non-discrimination law, in particular through the concept of indirect discrimination, prohibits many types of algorithmic discrimination. Data protection law could also help to defend people against discrimination. Proper enforcement of non-discrimination law and data protection law could help to protect people. However, the paper shows that both legal instruments have severe weaknesses when applied to artificial intelligence. The paper suggests how enforcement of current rules can be improved. The paper also explores whether additional rules are needed. The paper argues for sector-specific – rather than general – rules, and outlines an approach to regulate algorithmic decision-making.
algoritmes, Artificial intelligence, discriminatie, frontpage, GDPR, Privacy
Bibtex
Article{Borgesius2020,
title = {Strengthening legal protection against discrimination by algorithms and artificial intelligence},
author = {Zuiderveen Borgesius, F.},
url = {https://doi-org.proxy.uba.uva.nl:2443/10.1080/13642987.2020.1743976},
year = {0329},
date = {2020-03-29},
journal = {The International Journal of Human Rights},
abstract = {Algorithmic decision-making and other types of artificial intelligence (AI) can be used to predict who will commit crime, who will be a good employee, who will default on a loan, etc. However, algorithmic decision-making can also threaten human rights, such as the right to non-discrimination. The paper evaluates current legal protection in Europe against discriminatory algorithmic decisions. The paper shows that non-discrimination law, in particular through the concept of indirect discrimination, prohibits many types of algorithmic discrimination. Data protection law could also help to defend people against discrimination. Proper enforcement of non-discrimination law and data protection law could help to protect people. However, the paper shows that both legal instruments have severe weaknesses when applied to artificial intelligence. The paper suggests how enforcement of current rules can be improved. The paper also explores whether additional rules are needed. The paper argues for sector-specific – rather than general – rules, and outlines an approach to regulate algorithmic decision-making.},
keywords = {algoritmes, Artificial intelligence, discriminatie, frontpage, GDPR, Privacy},
} Implications of AI-driven tools in the media for freedom of expression external link
2020
Abstract
Background Paper to the Ministerial Conference "Artificial Intelligence - Intelligent Politics: Challenges and opportunities for media and democracy, Cyprus, 28-29 May 2020."
Artificial intelligence, Freedom of expression, frontpage, Media law
Bibtex
Report{Helberger2020,
title = {Implications of AI-driven tools in the media for freedom of expression},
author = {Helberger, N. and Eskens, S. and Drunen, M. van and Bastian, M. and Möller, J.},
url = {https://www.ivir.nl/publicaties/download/AI-and-Freedom-of-Expression.pdf},
year = {0305},
date = {2020-03-05},
abstract = {Background Paper to the Ministerial Conference "Artificial Intelligence - Intelligent Politics: Challenges and opportunities for media and democracy, Cyprus, 28-29 May 2020."},
keywords = {Artificial intelligence, Freedom of expression, frontpage, Media law},
} Joint Comment to WIPO on Copyright and Artificial Intelligence external link
Flynn, S., Carroll, M., Sag, M., Guibault, L., Margoni, T., Butler, B., Rocha de Souza, A., Bogataj Jancic, M., Jaszi, P., Quintais, J., Geiger, C., Ncube, C., White, B., Scaria, A.G., Botero, C. & Craig, C.
2020
Abstract
On December 13, 2019, WIPO invited member states and all other interested parties to provide comments and suggestions to help define the issues related to intellectual property (IP) and artificial intelligence (AI) based on a Draft Issues Paper on IP Policy and AI. These comments will be used to prepare a revised issues paper for discussion at the second session of the WIPO Conversation on IP and AI. This Joint Comment is made in response to WIPO’s Public Consultation on AI and IP Policy and is endorsed by 16 members of the Global Expert Network on Copyright User Rights.
Artificial intelligence, Auteursrecht, frontpage, WIPO
Bibtex
Article{Flynn2020,
title = {Joint Comment to WIPO on Copyright and Artificial Intelligence},
author = {Flynn, S. and Carroll, M. and Sag, M. and Guibault, L. and Margoni, T. and Butler, B. and Rocha de Souza, A. and Bogataj Jancic, M. and Jaszi, P. and Quintais, J. and Geiger, C. and Ncube, C. and White, B. and Scaria, A.G. and Botero, C. and Craig, C.},
url = {http://infojustice.org/archives/42009},
year = {0225},
date = {2020-02-25},
abstract = {On December 13, 2019, WIPO invited member states and all other interested parties to provide comments and suggestions to help define the issues related to intellectual property (IP) and artificial intelligence (AI) based on a Draft Issues Paper on IP Policy and AI. These comments will be used to prepare a revised issues paper for discussion at the second session of the WIPO Conversation on IP and AI. This Joint Comment is made in response to WIPO’s Public Consultation on AI and IP Policy and is endorsed by 16 members of the Global Expert Network on Copyright User Rights.},
keywords = {Artificial intelligence, Auteursrecht, frontpage, WIPO},
}