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Writing, thinking and debating about how data and AI can be made to work for people and society
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The role of collective action in ensuring data justice
Five preconditions to protecting people from data-driven collective harms
How the GDPR can exacerbate power asymmetries and collective data harms
Exploring how power asymmetries operate across the law and collective harms
The case for collective action against the harms of data-driven technologies
To what extent are the GDPR's data rights an effective tool for enabling collective action?
How will data-driven climate change technologies affect global equality?
The role of data-driven adaptation technologies in the climate crisis
The way ahead on AI liability issues
Will the developing EU liability framework for regulating AI prove sufficient?
Trends in biometric information regulation in the USA
What are the precedents, arguments and future prospects for legislation at city to state level?
The tension between the promises and realities of data use in health and social care
A partnership with the Health Foundation to study the relationships between data-driven systems and inequalities in health
The political economy of data intermediaries
How do we build data institutions and intermediaries that work for everyone?
Digital identity verification: a problem of trust
Why plans to use biometrics in the UK Digital Identity and Attributes Trust Framework need careful consideration.
AI-driven biometry and the infrastructures of everyday life
Normalising the principles of oppression through discriminatory technologies
How to improve contact tracing apps for future public health crises
Lessons learned from the UK’s response to the COVID-19 pandemic
Two steps forward, one step back: the EU’s plans for improving gig working conditions
A critique of the EU’s proposed approach to employment status and algorithmic management for platform workers