17 July 2026
The Limits of Representation
Artificial Intelligence can produce biased outputs. In part, this is because unrepresentative data is used to train, validate and test AI. To remedy skewed datasets and train fairer AI, many call for more comprehensive and systematic data production and processing about diverse people’s bodies and lives, including disabled people. Yet this response rests on a number of assumptions. Drawing on disability data, I argue that we should be cautious about these assumptions when regulating AI. Continue reading >>
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24 March 2025
The Politics of Digital Erasure
The removal of over 2,000 datasets from data.gov – specifically from government agencies in energy, environment, and NASA – reveals critical questions about the governance of digital information infrastructure and mechanisms of information control. This essay examines how these changes not only affect American governance but also global research networks that depend on U.S. federal data resources, and what these developments might mean for digital governance worldwide. Continue reading >>
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04 February 2020
Contextualising Frontex: A Long-Term Perspective on Database Monitoring of Migrants
This blogpost contextualises Frontex by discussing a pioneer database in Europe, the German Central Foreigner Register that presumably served as a model when establishing the European databases, and by drawing some lessons from the German case for the European context regarding the effectiveness of database surveillance. Continue reading >>
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