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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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Community-informed governance: reflections for the AI sector
What can we learn from Chile’s street-led deliberations and the demand for constitutional reform?
An infrastructure for safety and trust in European AI
Mandating independent safety assessment
Safe beyond sale: post-deployment monitoring of AI
Building the information infrastructure to improve safe AI use
Safety first?
Reimagining the role of the UK AI Safety Institute in a wider UK governance framework
The role of public compute
How can we realise the societal benefits of AI with a market-shaping approach?
Mobilising publics and grassroots organisations to impact AI policy
What can we learn from network-building initiatives in Spain?
It’s time to strengthen data protection law for the AI era
How improving the Data Protection and Digital Information Bill can help ensure that AI and data work for people and society
Meaningful public participation and AI
Lessons and visions for the way forward
The Ada Lovelace Institute in 2023
Reflections on the last year and a look ahead to 2024 from Ada’s outgoing Director Carly Kind and Interim Director Fran Bennett
Genomics, AI and the politics of a data-first approach to medical evidence
What are the consequences of new forms of data-driven methods for health outcomes?
Evaluating data-driven COVID-19 technologies through a human-centred approach
What we can learn from missing evidence on digital contact tracing and vaccine passports?
AI regulation and the imperative to learn from history
What can we learn from policy successes and failures, to ensure frontier AI regulations are effective in practice?