Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Frederik Zuiderveen Borgesius"'
Publikováno v:
Journal of Digital Social Research, Vol 3, Iss 1 (2021)
Dark patterns are (evil) design nudges that steer people’s behaviour through persuasive interface design. Increasingly found in cookie consent requests, they possibly undermine principles of EU privacy law. In two preregistered online experiments w
Externí odkaz:
https://doaj.org/article/eb079b672980478888b9425cb6c80c9d
Publikováno v:
German Law Journal, 23, 2, pp. 226-256
German Law Journal, 23, 226-256
German Law Journal, 23, 226-256
Citation: Michael Veale and Frederik Zuiderveen Borgesius, ‘Adtech and Real-Time Bidding under European Data Protection Law’ (2022) 23(2) German Law Journal 226-256.This paper discusses the troubled relationship between contemporary advertising t
Publikováno v:
European Journal of Social Security, 23, 4, pp. 323-340
European Journal of Social Security, 23, 323-340
European Journal of Social Security, 23, 323-340
In 2020, a Dutch court passed judgment in a case about a digital welfare fraud detection system called Systeem Risico Indicatie (SyRI). The court ruled that the SyRI legislation is unlawful because it does not comply with the right to privacy under t
Publikováno v:
Computer Law Review International, 22, 97-112
Computer Law Review International, 22, 4, pp. 97-112
Computer Law Review International, 22, 4, pp. 97-112
In April 2021, the European Commission proposed a Regulation on Artificial Intelligence, known as the AI Act. We present an overview of the Act and analyse its implications, drawing on scholarship ranging from the study of contemporary AI practices t
Publikováno v:
The Computer Law and Security Report, 48, pp. 1-12
The Computer Law and Security Report, 48, 1-12
The Computer Law and Security Report, 48, 1-12
Organisations can use artificial intelligence to make decisions about people for a variety of reasons, for instance, to select the best candidates from many job applications. However, AI systems can have discriminatory effects when used for decision-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4031ef0b0b76ab528835728a36fd9948
http://arxiv.org/abs/2206.03262
http://arxiv.org/abs/2206.03262
Publikováno v:
The International Journal of Human Rights, 24, 10, pp. 1572-1593
The International Journal of Human Rights, 24, 1572-1593
The International Journal of Human Rights, 24, 1572-1593
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 right
Algorithmic decision-making and similar types of artificial intelligence (AI) may lead to improvements in all sectors of society but can also have discriminatory effects. While current non-discrimination law offers people some protection, algorithmic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b43538cca60a1a2fdc43b23ca8ea9fb
https://dspace.library.uu.nl/handle/1874/421624
https://dspace.library.uu.nl/handle/1874/421624
Publikováno v:
SSRN Electronic Journal.
In April 2021, the European Commission proposed a Regulation on Artificial Intelligence, known as the AI Act. We present an overview of the Act and analyse its implications, drawing on scholarship ranging from the study of contemporary AI practices t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9eb2729c6a2c84001f4efab66912fc86
https://osf.io/preprints/socarxiv/38p5f
https://osf.io/preprints/socarxiv/38p5f
Publikováno v:
UMAP (Adjunct Publication)
Masthoff, J.; Herder, E. (ed.), UMAP '21: Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, Utrecht Netherlands June 21-25, 2021, pp. 333-333
Masthoff, J.; Herder, E. (ed.), UMAP '21: Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, Utrecht Netherlands June 21-25, 2021, pp. 333-333
Insurance companies could use algorithmic systems to set premiums for individual consumers or deny them insurance. More and more data become available for insurers for risk differentiation. For example, some insurers monitor people's driving behaviou