We are faced with automated decision-making systems almost every day and they might be discriminating, without us even knowing about it. A new guidebook helps to better recognize such cases and support those affected.
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In their coalition treaty, the new German government has signaled their intention to evaluate the German anti-discrimination law (Allgemeine Gleichbehandlungsgesetz – AGG). We demand for them to account for the special features of algorithmic discrimination, for instance by considering the right to collective redress mechanisms to better protect the rights of those affected.
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Two residents in Rome with exactly the same driving history, car, age, profession, and number of years owning a driving license may be charged a different price when purchasing car insurance. Why? Because of their place of birth, according to a recent study.
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A new Unding Survey is investigating discrimination in online forms. But operators are already getting angry emails. Behind some: a recently retired IT consultant with one of the most common surnames in the world and 30 years experience of not being able to sign up.
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A feature on LinkedIn automatically rates candidates applying from another EU country as “not a fit”, which may be illegal. I asked 6 national and European agencies about the issue. None seemed interested in enforcing the law.
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The project AutoCheck investigates the risks for discrimination inherent in automated decision-making systems (ADMS). In this interview, project manager Jessica Wulf talks about the search for exemplary cases and how the project will support counselling centers and further education on the topic.
Read moreIn Europe, several automated systems, either planned or operational, actively contribute to entrenching racism. But European civil society literally lacks the words to address the issue.
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Algorithms used to assess kidney function or predict heart failure use race as a central criterion. Continue reading the story on the AlgorithmWatch Switzerland website
Read moreAn experiment by AlgorithmWatch shows that online platforms optimize ad delivery in discriminatory ways. Advertisers who use them could be breaking the law.
Read moreAn experiment shows that Google Translate systematically changes the gender of translations when they do not fit with stereotypes. It is all because of English, Google says
Read moreGraeme Tiffany is a philosopher of education. He argues that replacing exams with algorithmic grading, as was done in Great Britain, exacerbates inequalities and fails to assess students' abilities.
Read moreAn exclusive investigation reveals that Instagram prioritizes photos of scantily-clad men and women, shaping the behavior of content creators and the worldview of 140 millions Europeans in what remains a blind spot of EU regulations.
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A systematic review of Google’s Perspective, a tool for automated content moderation, reveals that some adjectives are considered more toxic than others.
Read moreAt least 11 local police forces in Europe use computer vision to automatically analyze images from surveillance cameras. The risks of discrimination run high but authorities ignore them.
Read moreA Google service that automatically labels images produced starkly different results depending on skin tone on a given image. The company fixed the issue, but the problem is likely much broader.
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