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Safety first?
Reimagining the role of the UK AI Safety Institute in a wider UK governance framework
Going public
Exploring public participation in commercial AI labs
Emerging processes for frontier AI safety
The UK Government has published a series of voluntary safety practices for companies developing frontier AI models.
Foundation models in the public sector
AI foundation models are integrated into commonly used applications and are used informally in the public sector
Access denied?
Socioeconomic inequalities in digital health services
DNA.I.
Early findings and emerging questions on the use of AI in genomics
AI assurance?
Assessing and mitigating risks across the AI lifecycle
How do people feel about AI?
A nationally representative survey of public attitudes to artificial intelligence in Britain
Supporting AI research ethics committees
Exploring solutions to the unique ethical risks that are emerging in association with data science and AI research.
A knotted pipeline
Data-driven systems and inequalities in health and social care
Algorithmic impact assessment: a case study in healthcare
This report sets out the first-known detailed proposal for the use of an algorithmic impact assessment for data access in a healthcare context
How does structural racism impact on data and AI?
Why we need to acknowledge that structural racism is a fundamental driver and cause of the data divide