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.

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

Flynn, S., Geiger, C., Quintais, J., Margoni, T., Sag, M., Guibault, L. & Carroll, M.
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

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}, }

Prospective Policy Study on Artificial Intelligence and EU Trade Policy external link

Irion, K. & Williams, J.
2020

Abstract

Artificial intelligence is poised to be 21st century’s most transformative general purpose technology that mankind ever availed itself of. Artificial intelligence is a catch-all for technologies that can carry out complex processes fairly independently by learning from data. In the form of popular digital services and products, applied artificial intelligence is seeping into our daily lives, for example, as personal digital assistants or as autopiloting of self-driving cars. This is just the beginning of a development over the course of which artificial intelligence will generate transformative products and services that will alter world trade patterns. Artificial intelligence holds enormous promise for our information civilization if we get the governance of artificial intelligence right. What makes artificial intelligence even more fascinating is that the technology can be deployed fairly location-independent. Cross-border trade in digital services which incorporate applied artificial intelligence into their software architecture is ever increasing. That brings artificial intelligence within the purview of international trade law, such as the General Agreement on Trade in Services (GATS) and ongoing negotiations at the World Trade Organization (WTO) on trade related aspects of electronic commerce. The Dutch Ministry of Foreign Affairs commissioned this study to generate knowledge about the interface between international trade law and European norms and values in the use of artificial intelligence.

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

Bibtex

Report{Irion2020b, title = {Prospective Policy Study on Artificial Intelligence and EU Trade Policy}, author = {Irion, K. and Williams, J.}, url = {https://www.ivir.nl/ivir_policy-paper_ai-study_online/https://www.ivir.nl/ivir_artificial-intelligence-and-eu-trade-policy-2/}, year = {2020}, date = {2020-01-21}, abstract = {Artificial intelligence is poised to be 21st century’s most transformative general purpose technology that mankind ever availed itself of. Artificial intelligence is a catch-all for technologies that can carry out complex processes fairly independently by learning from data. In the form of popular digital services and products, applied artificial intelligence is seeping into our daily lives, for example, as personal digital assistants or as autopiloting of self-driving cars. This is just the beginning of a development over the course of which artificial intelligence will generate transformative products and services that will alter world trade patterns. Artificial intelligence holds enormous promise for our information civilization if we get the governance of artificial intelligence right. What makes artificial intelligence even more fascinating is that the technology can be deployed fairly location-independent. Cross-border trade in digital services which incorporate applied artificial intelligence into their software architecture is ever increasing. That brings artificial intelligence within the purview of international trade law, such as the General Agreement on Trade in Services (GATS) and ongoing negotiations at the World Trade Organization (WTO) on trade related aspects of electronic commerce. The Dutch Ministry of Foreign Affairs commissioned this study to generate knowledge about the interface between international trade law and European norms and values in the use of artificial intelligence.}, keywords = {Artificial intelligence, EU law, Human rights, Transparency, WTO law}, }

Can Machines be Authors? external link

Kluwer Copyright Blog, vol. 2019, 2019

Artificial intelligence, Copyright, frontpage

Bibtex

Article{Gervais2019b, title = {Can Machines be Authors?}, author = {Gervais, D.J.}, url = {http://copyrightblog.kluweriplaw.com/2019/05/21/can-machines-be-authors/}, year = {0523}, date = {2019-05-23}, journal = {Kluwer Copyright Blog}, volume = {2019}, pages = {}, keywords = {Artificial intelligence, Copyright, frontpage}, }

The Netherlands in ‘Automating Society – Taking Stock of Automated Decision-Making in the EU’ external link

pp: 93-102, 2019

Abstract

Systems for automated decision-making or decision support (ADM) are on the rise in EU countries: Profiling job applicants based on their personal emails in Finland, allocating treatment for patients in the public health system in Italy, sorting the unemployed in Poland, automatically identifying children vulnerable to neglect in Denmark, detecting welfare fraud in the Netherlands, credit scoring systems in many EU countries – the range of applications has broadened to almost all aspects of daily life. This begs a lot of questions: Do we need new laws? Do we need new oversight institutions? Who do we fund to develop answers to the challenges ahead? Where should we invest? How do we enable citizens – patients, employees, consumers – to deal with this? For the report “Automating Society – Taking Stock of Automated Decision-Making in the EU”, our experts have looked at the situation at the EU level but also in 12 Member States: Belgium, Denmark, Finland, France, Germany, Italy, Netherlands Poland, Slovenia, Spain, Sweden and the UK. We assessed not only the political discussions and initiatives in these countries but also present a section “ADM in Action” for all states, listing examples of automated decision-making already in use. This is the first time a comprehensive study has been done on the state of automated decision-making in Europe.

algorithms, algoritmes, Artificial intelligence, EU, frontpage, kunstmatige intelligentie, NGO

Bibtex

Report{Til2019, title = {The Netherlands in ‘Automating Society – Taking Stock of Automated Decision-Making in the EU’}, author = {Til, G. van}, url = {https://www.ivir.nl/automating_society_report_2019/}, year = {0211}, date = {2019-02-11}, abstract = {Systems for automated decision-making or decision support (ADM) are on the rise in EU countries: Profiling job applicants based on their personal emails in Finland, allocating treatment for patients in the public health system in Italy, sorting the unemployed in Poland, automatically identifying children vulnerable to neglect in Denmark, detecting welfare fraud in the Netherlands, credit scoring systems in many EU countries – the range of applications has broadened to almost all aspects of daily life. This begs a lot of questions: Do we need new laws? Do we need new oversight institutions? Who do we fund to develop answers to the challenges ahead? Where should we invest? How do we enable citizens – patients, employees, consumers – to deal with this? For the report “Automating Society – Taking Stock of Automated Decision-Making in the EU”, our experts have looked at the situation at the EU level but also in 12 Member States: Belgium, Denmark, Finland, France, Germany, Italy, Netherlands Poland, Slovenia, Spain, Sweden and the UK. We assessed not only the political discussions and initiatives in these countries but also present a section “ADM in Action” for all states, listing examples of automated decision-making already in use. This is the first time a comprehensive study has been done on the state of automated decision-making in Europe.}, keywords = {algorithms, algoritmes, Artificial intelligence, EU, frontpage, kunstmatige intelligentie, NGO}, }