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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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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
Beyond the regulation of big platforms – supporting different visions for digital ecosystems
An introduction to the Rethinking data programme
From ‘walled gardens’ to open meadows
How interoperability could be the key to addressing platform power
Can computers surprise us?
Why Lady Lovelace’s ‘originality insight’ matters for today’s ‘learning machines’