News and Research articles on Algorithmic governance

Volume 12, Issue 2

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?

KEYWORDS: Algorithmic governance, Data justice, Critical Data Studies, Data governance, Algorithmic accountability
Volume 12, Issue 1

Future-proofing the city: A human rights-based approach to governing algorithmic, biometric and smart city technologies

Alina Wernick, University of Helsinki
Anna Artyushina, York University
PUBLISHED ON: 31 Mar 2023 DOI: 10.14763/2023.1.1695

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.

KEYWORDS: Smart cities, Governance, Biometric, Algorithmic governance, Human rights
Volume 8, Issue 4

Algorithmic governance

Christian Katzenbach, Alexander von Humboldt Institute for Internet and Society
Lena Ulbricht, Berlin Social Science Center (WZB)
PUBLISHED ON: 29 Nov 2019 DOI: 10.14763/2019.4.1424

Algorithmic governance as a key concept in controversies around the emerging digital society takes up the idea that digital technologies produce social ordering in a specific way.

KEYWORDS: Transparency, Automation, Politicisation, Regulation, Social ordering, Governance, Predictive policing, Content moderation, Algorithmic governance
Volume 8, Issue 2

A guideline for understanding and measuring algorithmic governance in everyday life

Michael Latzer, University of Zurich
Noemi Festic, University of Zurich
PUBLISHED ON: 30 Jun 2019 DOI: 10.14763/2019.2.1415

Public policy proposals regarding algorithms are often based on purely theoretically derived risk assessments. We propose a user-centred mixed-methods approach for more evidence-based policymaking.

KEYWORDS: Algorithmic governance, Policymaking, Reality construction, Everyday life, Mixed-methods