The field of data privacy and AI is rapidly evolving, with a growing focus on addressing the challenges posed by opaque AI systems and the need for innovative solutions to protect sensitive data. Researchers are exploring new approaches to handle the tension between privacy and non-discrimination policy, particularly in the context of algorithmic decision-making. The use of artificial intelligence to make decisions about people is becoming increasingly prevalent, but it also raises concerns about discriminatory effects and the need for transparency and accountability. Furthermore, the implementation of data anonymization methods is being hindered by the complexity of making case-dependent choices and the need for bespoke solutions. Noteworthy papers in this area include:

• A study on the threat of deep opacity in AI to privacy protection mechanisms, which highlights the need for technical solutions to handle this situation.
• An analysis of the compatibility of real-time bidding practices with European data protection law, which concludes that intervention by regulators is necessary.