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.

Winter 2022/2023 seems to be a spectacular time in the history of Artificial Intelligence. It is so even though the current hype is an effect of mass popularization rather than a real scientific revolution, which in this field began quite a while ago. With the rapid growth of new users of products based on generative AI (or GP AI), its potential to wreak havoc raises an increasing number of serious concerns.

Sharing information is less and less our free choice. The society requires high visibility: those, who don't expose themselves become suspicious or excluded. But sharing is just the beginning. The real purpose behind it is profiling. Be that our insurance or health care scheme, unemployment benefit or school curriculum – more and more services depend not so much on who we are in reality, but on the quality of our digital profile. Who designs these algorithms? What business and political stakes are behind? Katarzyna Szymielewicz comments on contents of our digital profiles and its implications.