781 citations · 959 across the 7 of their papers we have counts for
7 papers
Generative Discrimination: What Happens When Generative AI Exhibits Bias, and What Can Be Done About It
Philipp Hacker
As generative Artificial Intelligence (genAI) technologies proliferate across sectors, they offer significant benefits but also risk exacerbating discrimination. This chapter explo…
Non-discrimination law in Europe: a primer for non-lawyers
Frederik Zuiderveen Borgesius, Nina Baranowska, Philipp Hacker +1
This brief paper provides an introduction to non-discrimination law in Europe. It answers the questions: What are the key characteristics of non-discrimination law in Europe, and h…
AI, insurance, discrimination and unfair differentiation. An overview and research agenda
Marvin S. L. van Bekkum, Frederik Zuiderveen Borgesius, Tom Heskes
Insurers underwrite risks: they calculate risks and decide on the insurance price. Insurers seem captivated by two trends enabled by Artificial Intelligence (AI). First, insurers c…
Fairness and Bias in Algorithmic Hiring: a Multidisciplinary Survey
Alessandro Fabris, Nina Baranowska, Matthew J. Dennis +5
Employers are adopting algorithmic hiring technology throughout the recruitment pipeline. Algorithmic fairness is especially applicable in this domain due to its high stakes and st…
Targeted and Troublesome: Tracking and Advertising on Children's Websites
Zahra Moti, Asuman Senol, Hamid Bostani +4
On the modern web, trackers and advertisers frequently construct and monetize users' detailed behavioral profiles without consent. Despite various studies on web tracking mechanism…
Using sensitive data to prevent discrimination by artificial intelligence: Does the GDPR need a new exception?
Marvin van Bekkum, Frederik Zuiderveen Borgesius
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. Howev…