Article Discrimination in datafied world Data-driven technologies are not neutral. A decision to collect, analyse and process specific kind of information is structured and motivated by social, economic and political factors. Those data operations may not only violate the right to privacy but also lead to discrimination and oppression of socially marginalised communities. Discriminatory data processes and algorithms are a massive challenge for the modern human rights movement that requires non-standard solutions. The report “Between Anti-discrimination and Data” – tries to shed light on this problem from the perspective of European civil society organisations. 10.07.2018 Text
Article More Surveillance Powers? 'We Must Demand Proof' of Effectiveness "All indications are that the attack on the editorial offices of satirical magazine Charlie Hebdo will provide a pretext for the introduction of further limits on our civil liberties - a new order the victims of which are unlikely to be terrorists … Independent analyses confirm that data inflation and the growing use of algorithms in intelligence work do not improve the effectiveness of threat detection. 21.01.2015 Text
Article Big Data for Big Impact – but not only a positive one Technology has changed and keeps dramatically changing our everyday life by transforming the human species to advanced networked societies. To celebrate this digital revolution, 17 May is dedicated to the “World Telecommunication and Information Society Day” (WTISD-17). 17.05.2017 Text
Article Panoptykon files complaints against Google and IAB Europe On the International Data Protection Day, 28 January 2019, Panoptykon Foundation filed complaints against Google and IAB Europe under the General Data Protection Regulation (GDPR) to the Polish Data Protection Authority (DPA). The complaints are related to the functioning of online behavioural advertising (OBA) ecosystem. 28.01.2019 Text
Article Three layers of your digital profile Your online profile is not always built on facts. It is shaped by technology companies and advertisers who make key decisions based on their interpretation of seemingly benign data points: what movies you choose watch, the time of day you tweet, or how long you take to click on a cat video. 18.03.2019 Text