Research articles on GOVERNANCE

Government responses to online disinformation unpacked

Samuel Cipers, Vrije Universiteit Brussel
Trisha Meyer, Vrije Universiteit Brussel
Jonas Lefevere, University of Antwerp
PUBLISHED ON: 11 Dec 2023 DOI: 10.14763/2023.4.1736

This article provides a database of government responses to online disinformation and compares the amount and type of response over time and against the level of democratisation, press freedom, and gross domestic product.

Voting in online surveys on open government policies in Moldova and Ukraine

Dmytro Khutkyy, University of Tartu
Olga Matveieva, Dnipro University of Technology
Diana Mirza-Grisco, Independent researcher
PUBLISHED ON: 21 Jun 2023 DOI: 10.14763/2023.2.1712

This international comparative research explores the socio-political impact of voting in online surveys on voters, civil society organisations, government authorities and open government overall in Moldova and Ukraine.

Artificial intelligence regulation in the United Kingdom: a path to good governance and global leadership?

Huw Roberts, University of Oxford
Alexander Babuta, British Library
Jessica Morley, University of Oxford
Christopher Thomas, British Library
Mariarosaria Taddeo, University of Oxford
Luciano Floridi, University of Bologna
PUBLISHED ON: 26 May 2023 DOI: 10.14763/2023.2.1709

Introduction Globally, there are now over 800 AI policy initiatives, from the governments of at least 60 countries, with most being introduced after 2016. The United Kingdom (UK) is at the forefront of AI governance efforts, at least quantitatively, being second only to the United States (US) in terms of the number of national-level AI policies released (OECD.AI, 2021) and ranking top for the number of mentions of AI in legislative documents between 2016 and 2021 (Zhang et al., 2022). According to the OECD, the US has released 55 documents, the UK 53, the EU 59, and China 22. These figures do not evidence the UK producing better outcomes than other countries that have published fewer …

From access and transparency to refusal: Three responses to algorithmic governance

Alexandra James, La Trobe University
Danielle Hynes, University of New South Wales
Andrew Whelan, University of Wollongong
Tanja Dreher, University of New South Wales
Justine Humphry, University of Sydney
PUBLISHED ON: 17 May 2023 DOI: 10.14763/2023.2.1691

This paper critically engages with key responses to algorithmic governance, including access and inclusion, transparency, and refusal. How can these responses effectively address the harms produced by algorithmic governance?

Slow-governance in smart cities: An empirical study of smart intersection implementation in four US college towns

Madelyn Rose Sanfilippo, University of Illinois at Urbana-Champaign
Brett Frischmann, Villanova University
PUBLISHED ON: 31 Mar 2023 DOI: 10.14763/2023.1.1703

This empirical study of governance and ethics regarding the adoption of smart intersection in four US college towns, structured by the Governing Knowledge Commons (GKC) framework, calls for deliberative, slow-governance of public data to respect human rights and align with community norms.

This special issue brings together scholars from a range of disciplines to identify the human rights implications of algorithmic, biometric and smart city technologies and the means to govern them. In the editorial, we propose a framework for the analysis and design of human-rights-based smart cities.

Governing artificial intelligence in the media and communications sector

Jo Pierson, Hasselt University
Aphra Kerr, Maynooth University
Stephen Cory Robinson, Linköping University
Rosanna Fanni, Centre for European Policy Studies (CEPS)
Valerie Eveline Steinkogler, Vrije Universiteit Brussel
Stefania Milan, University of Amsterdam
Giulia Zampedri, Vrije Universiteit Brussel
PUBLISHED ON: 21 Feb 2023 DOI: 10.14763/2023.1.1683

The article identifies critical blindspots in current European AI policies and explores the impact of AI technologies in the media and communications sector, based on a novel multi-level analytical framework.