What does a recent decision by the European Union’s Court of Justice – ruling that IAB Europe is liable under the GDPR for a technical standard it wrote – mean for internet standard-setting organisations?
Research articles on INFRASTRUCTURE & STANDARDS
In the shadow of missiles and malware, the open internet becomes the first casualty of survival.
This article explores how governments, shifting from an anti-interventionist stance and views of regulatory impossibility, are embracing an infrastructural turn through strategies that include hijacking, and localising the "points of control" of the internet.
Despite its growing success and widespread adoption around the world, open banking (OB) struggles to present a coherent identity. Since OB is driven by various justifications, identifying the primary motivations behind regulatory initiatives is crucial for assessing whether the implemented features align with the intended policy objectives.
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.
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?
Against the backdrop of ongoing public and political debates about the power and regulation of large platform conglomerates, this special issue presents critical, conceptual, and empirical studies that home in on the various modalities of platform power.
This paper demonstrates how gig platforms can become both a resource for risk management and a new source of risk, depending on the complex interaction between a platform’s labour management strategies on the one hand and the mix of support structures and dependencies in a worker’s life on the other.
This paper empirically explores how AWS, Microsoft Azure, and Google Cloud strategically attempt to operationalise infrastructural power in AI development and implementation through their ecosystems for cloud AI.