Presentations tagged with AI & Social responsibility

The entrance of private technology companies into the healthcare sector is increasingly justified through efficiency narratives.

The introduction of Generative AI (GenAI) into education has disrupted long-standing practices and challenges epistemic norms in the classroom.

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

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.

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

During this presentation, I will argue against the fruitfulness of the current debate concerning digital suffering in the philosophy of artificial intelligence.

Contemporary discussions of echo chambers have largely framed them as informational phenomena that contribute to misinformation, epistemic distortion, and political polarization.

AI ethics increasingly aims to move from abstract principles toward specific practices (Morley et al., 2020; Prem, 2023). Questions remain about how to empirically study and support the moral capacities of AI practitioners.