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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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What will the role of standards be in AI governance?
Why standards are at the centre of AI regulation conversations and the challenges they raise
Understanding COVID-19 certificates in the context of recent health securitisation trends
What narratives have framed pandemic-related technologies and who do they leave out?
The value chain of general-purpose AI
A closer look at the implications of API and open-source accessible GPAI for the EU AI Act
Monstrous glitches and loving intensities
Reading Ada Lovelace’s legacy through the lenses of craft, art, society and culture.
Understanding AI research ethics as a collective problem
Changing the culture on AI-driven harms through Stanford University’s Ethics and Society Review
The Ada Lovelace Institute in 2022
Ada’s Director Carly Kind reflects on the last year and looks ahead to 2023
Examining the pros and cons of digital COVID certificates in the EU
Can an individualised data technology work in a public health context?
How does digital constitutionalism reframe the discourse on rights and powers?
A theoretical lens to understand digital policy developments
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