On 11 September 2014 digital right activists and advocates around the world commemorated the anniversary of 9/11 terrorist attacks on the WTC as the Freedom not Fear Day.

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.

European officials urged Big Tech to ban Kremlin-related accounts in the effort to tackle the propaganda online, as the Internet – and particularly the social media – became an important front of Russian invasion on Ukraine. But such “digital sanctions” are just a Band-Aid on a bullet wound. Yet again we call therefore for robust platform regulations in the Digital Services Act instead. The current crisis only confirms how badly overdue systemic solutions are.

A case study examined by Panoptykon Foundation and showcased by the Financial Times, demonstrates how Facebook uses algorithms to deliver personalised ads that may exploit users’ mental vulnerabilities. The experiment shows that users are unable to get rid of disturbing content: disabling sensitive interests in ad settings limits targeting options for advertisers, but does not affect Facebook’s own profiling and ad delivery practices. While much has been written about the disinformation and risks to democracy generated by social media’s data-hungry algorithms, the threat to people’s mental health has not yet received enough attention.

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.