As the European Parliament gets ready to vote on the AI Act, we call on MEPs to put our fundamental rights first and protect the people affected by AI systems.

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.

AI systems will soon determine our rights and freedoms, shape our economic situation and physical wellbeing, affect market behaviour and natural environment. With the hype for ‘problem-solving’ AI, claims for (more) accountability in this field are gaining urgency. Summary of the IGF 2020 session: Aiming for AI explainability: lessons from the field.

Algorithmic decision-making can carry more weight than you might expect. While algorithms do innocuous or helpful things like changing the traffic signals when you approach an intersection, they also decide what content to show in your social media feed. There are also algorithms that assist real people in deciding whether you can get a mortgage, get into a particular university or qualify for insurance. How does it work? Katarzyna Szymielewicz explains three layers of digital profile in the video.