Introduction to the special issue on AI systems for the public interest AI systems for the public interest

Theresa Züger, Alexander von Humboldt Institute for Internet and Society
Hadi Asghari, Alexander von Humboldt Institute for Internet and Society
PUBLISHED ON: 30 Sep 2024 DOI: 10.14763/2024.3.1802

As the debate on public interest AI is still a young and emerging one, we see this special issue as a way to help establish this field and its community by bringing together interdisciplinary positions and approaches.

The principle of proportionality not only addresses the conflict among competing interests under Article 15(1)(h) GDPR but also shapes the justifications for public interest restrictions on the right of access to AI decision-making information.

The unusual DAO: An ethnography of building trust in “trustless” spaces

Tara Merk, French National Centre for Scientific Research (CNRS)/University of Paris II
PUBLISHED ON: 24 Sep 2024 DOI: 10.14763/2024.3.1795

This paper investigates decentralised autonomous organisations (DAOs) as a potential policy response to the issue of declining trust online and argues that while DAOs have privileged displacing the need for trust, they can also be designed to nourish trust thereby fostering participation and prosocial use cases.

Fulfilling data access obligations: How could (and should) platforms facilitate data donation studies?

Valerie Hase, LMU Munich
Jef Ausloos, University of Amsterdam
Laura Boeschoten, Utrecht University
Nico Pfiffner, University of Zurich
Heleen Janssen, University of Amsterdam
Theo Araujo, University of Amsterdam
Thijs Carrière, Utrecht University
Claes de Vreese, University of Amsterdam
Jörg Haßler, LMU Munich
Felicia Loecherbach, University of Amsterdam
Zoltán Kmetty, Centre for Social Sciences
Judith Möller, University of Hamburg – Leibniz Institute for Media Research (HBI)
Jakob Ohme, Weizenbaum Institute for the Networked Society
Elisabeth Schmidbauer, LMU Munich
Bella Struminskaya, Utrecht University
Damian Trilling, Vrije Universiteit Amsterdam
Kasper Welbers, Vrije Universiteit Amsterdam
Mario Haim, LMU Munich
PUBLISHED ON: 16 Sep 2024 DOI: 10.14763/2024.3.1793

This study critically discusses platforms’ non-compliance with data access based on a collaborative policy effort from scholars engaging in data donation studies.

General-purpose AI regulation and the European Union AI Act

Oskar J. Gstrein, University of Groningen
Noman Haleem, University of Groningen
Andrej Zwitter, University of Groningen
PUBLISHED ON: 1 Aug 2024 DOI: 10.14763/2024.3.1790

This article provides an initial analysis of the EU AI Act's approach to general-purpose artificial intelligence, arguing that the regulation marks a significant shift from reactive to proactive AI governance, while concerns about its enforceability, democratic legitimacy and future-proofing remain.

A mixed method study of the EU geo-block's effectiveness in limiting sharing of Russian propaganda media and content in the wake of the full-scale invasion of Ukraine.

But did they really? Platforms’ compliance with the Code of Practice on Disinformation in review

Stephan Mündges, TU Dortmund University
Kirsty Park, European Digital Media Observatory
PUBLISHED ON: 25 Jul 2024 DOI: 10.14763/2024.3.1786

Platforms’ lack of compliance with the Code of Practice on Disinformation shows that they are not doing enough to counter mis- and disinformation.

The European approach to regulating AI through technical standards

Mélanie Gornet, Institut Polytechnique de Paris
Winston Maxwell, Institut Polytechnique de Paris
PUBLISHED ON: 16 Jul 2024 DOI: 10.14763/2024.3.1784

The AI Act will require high-risk AI systems to comply with harmonised technical standards, including for the protection of fundamental rights: what problems might arise when mixing technical standards and fundamental rights?