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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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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
Don’t start with the data: a people-centred approach to addressing health inequalities
Why identities and experiences can’t be reduced to categories
Getting under the hood of big tech
Auditing standards in the EU Digital Services Act
Realising the potential of algorithmic accountability mechanisms
Seven design challenges for the successful implementation of algorithmic impact assessments
Making interoperability work in practice: forms, business models and safeguards
Equitable interoperability as a standard
Three proposals to strengthen the EU Artificial Intelligence Act
Recommendations to improve the regulation of AI – in Europe and worldwide