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.
Research articles on GOVERNANCE
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.
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.
On the inadequacy of the risk-based approach for generative and general purpose AI.
The policies and content moderation practices of social media companies are not well equipped to recognise how and when humour harms. All too-often, therefore, platforms take down important harmless humour while they fail to effectively moderate humour that sows division and hate.
The role of voluntary standards as intermediaries in the application of the Right to Data Portability: an empirical analysis.
Blockchain-based NFTs (non-fungible tokens) are uniquely identifiable digital representations of physical or digital items.
“Permissionlessness” is a term often used in association with public blockchains. This glossary entry explores the origins, evolution, and coexisting uses and meanings of the term “permissionless” to contextualise it.
Web monetisation is the conversion of user traffic into revenue. This glossary entry provides an overview of the concepts of web and content monetisation, discusses aspects arising out of their interaction, and addresses three main issues currently associated with the term: the interoperability of social media infrastructures, the interoperability of content and web monetisation, and the moderation of content monetised decentrally.
This paper investigates whether it is possible for external publics to detect algorithmic targeting in political advertisements, using the tools provided by the Facebook Ad Library.