In this article, I propose a distinction between individual harm, collective harm and societal harm caused by artificial intelligence (AI), and focus particularly on the latter. By listing examples and identifying concerns, I provide a conceptualisation of AI’s societal harm so as to better enable its identification and mitigation. Drawing on an

This paper is part of Governing “European values” inside data flows , a special issue of Internet Policy Review guest-edited by Kristina Irion, Mira Burri, Ans Kolk, Stefania Milan. Introduction The entrenchment and establishment of particular rights has from the outset been part of the advancement of the European project and how the European

This paper investigates challenges arising for Value Sensitive Design due to the distribution of power in socio-technical ecosystems.

This article assesses the bidirectional interaction between meso- and macro-level data governance frameworks.

The extraterritorial application of GDPR does not promote European values. Rather, it evokes wrong expectations about the universality of individual rights.

By analysing data governance models and inherent properties of data, we point towards public data commons as the model securing European values and increasing sharing.

This paper process-traces how European policymakers have delegated regulatory responsibilities to private certification and monitoring bodies acting as regulatory intermediaries. It explores how regulators can constrain or incentivise self-regulation that exists in their shadow via intermediaries, instead of using direct modes of regulation.

Standards impact technology leadership, more so where they precede market launch. European values are therefore important for European technology in ICT markets.