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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A knotted pipeline
Data-driven systems and inequalities in health and social care
AI liability in Europe
Legal context and analysis on how liability law could support a more effective legal framework for AI
The rule of trust
Findings from citizens’ juries on the good governance of data in pandemics.
The Ryder Review
Independent legal review of the governance of biometric data in England and Wales
Countermeasures
The need for new legislation to govern biometric technologies in the UK
Who cares what the public think?
UK public attitudes to regulating data and data-driven technologies
Expert explainer: The EU AI Act proposal
A description of the significance of the EU AI Act, its scope and main points
People, risk and the unique requirements of AI
18 recommendations to strengthen the EU AI Act
Expert opinion: Regulating AI in Europe
Four problems and four solutions
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
Algorithmic impact assessment: user guide
This user guide is part of our wider work exploring algorithmic impact assessments (AIAs) in healthcare
Algorithmic impact assessment: AIA template
This template is part of our wider work exploring algorithmic impact assessments (AIAs) in healthcare