Presentations tagged with Parallel session 4

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.

The implementation of Artificial Intelligence (AI) in public administration has generated both enthusiasm and concern.

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.

Digital technologies reshape the normative and epistemic landscapes in which practices are embedded.

What does ‘technology and the good society’ mean? The co-evolution of technology and society – including values – is a continuous process.

I argue that concepts are public goods: they are non-rival (my grasp and use of TABLE does not diminish yours) and (variably) non-excludable (I cannot prevent you from learning or using the concept FREEDOM).

A crucial part of philosophy of technology consists in the study of how to ethically assess emerging and potentially disruptive technologies.

This paper examines the epistemic implications of AI for nonhuman animal communication through a multispecies justice lens.