The DSA, DMA, and EMFA aim to regulate platform power over digital services and markets while establishing rules to protect media freedom, pluralism, and editorial independence, notably through efforts to address media concentration; however, they seem to overlook some of the underlying causes driving these concentration threats.
How does resistance evolve under the pressure of datafication? People adopt defensive and productive tactics to resist the harms and risks of a data-driven society.
This article evaluates how to reconcile AI Act’s Art. 50 transparency provisions applicable to AI-generated text with news readers’ perceptions of manipulation and empowerment.
In this study, we developed a consumer survey to investigate the extent to which legislation can (and should) keep up with existing and changing social and ethical norms regarding the use of data for personalising online prices.
This paper focuses on the dynamics of accountability in blockchain governance. Drawing on a case study of the Lido protocol on Ethereum, it explores the rule of code, on-chain accountability, accountability trade-offs, and the complexities of determining when accountability can be better instantiated via on-chain or off-chain mechanisms.
The article takes an in-depth look at the AI Act’s governance approach to non-high-risk AI systems and provides a multi-perspective analysis of the challenges that the EU’s regulation of AI brings about.
The Brazilian Social Security Management Office's AI system reduces the waiting list but increases automatic refusals, harming beneficiaries and increasing inequality in the delivery of public services to the poorest and elderly people.
This paper uncovers the risks inherent in facial recognition within law enforcement, exploring multidimensional aspects affecting data protection vs public security within the regulatory frameworks of the General Data Protection Regulation and the Artificial Intelligence Act.
This article explores some conditions and possibilities for public contestability in AI governance; a critical attribute of governance arrangements designed to align AI deployment with the public interest.
This article considers the public value of automated and datafied welfare and uses the capability approach, buen vivir, and data justice to explore the relation between the procedural and normative components of emerging infrastructures of welfare.