The European Health Data Space (EHDS) is set to revolutionize health data sharing across the EU by enabling the reuse of data for purposes of research and innovation, which include applications like AI training and public health research.
In the EU, ‘digital sovereignty’ has been put forward as a response to a range of issues related to technology: from data governance to big tech power, and digital infrastructures.
One of the claims advanced in scholarship on technology-induced conceptual disruption is that conceptual engineering should not be understood in terms of detached amelioration, but rather in terms of situated adaptation (Hopster and Löhr 2023).
Based on the CEG-report ‘Kunstmatige Oplossingen?', on the ethics of AI for health and healthcare, we will explore how to do the right things rightly with AI in the context of health and healthcare.
Future prediction markets (FPMs) have recently expanded beyond academic and experimental settings into high-profile public platforms, informing political forecasting, economic expectations, and policy discourse.
We encounter misinformation daily. We notice it, deal with it, or ignore it, and move on. Yet misinformation silently erodes societal trust across groups and communities, providing constant ammunition for cognitive warfare.