Library
Our reports offer ideas, analysis, research and policy recommendations for data and AI that lead to greater wellbeing and social justice
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Under the radar?
Examining the evaluation of foundation models
Critical analytics?
Learning from the early adoption of data analytics for local authority service delivery
Code & conduct
How to create third-party auditing regimes for AI systems
Safe before sale
Learnings from the FDA’s model of life sciences oversight for foundation models
Going public
Exploring public participation in commercial AI labs
Mission critical
Lessons from relevant sectors for AI safety
What do the public think about AI?
Understanding public attitudes and how to involve the public in decision-making about AI
Foundation models in the public sector
AI foundation models are integrated into commonly used applications and are used informally in the public sector
Foundation models in the public sector
Key considerations for deploying public-sector foundation models
Policy briefing: Access denied?
Inequalities in data-driven health systems and digital health services
Access denied?
Socioeconomic inequalities in digital health services
Net zero or net hero?
The role of AI in the climate crisis