Our reports offer ideas, analysis, research and policy recommendations for data and AI that lead to greater wellbeing and social justice
Our latest research, guidance and articles, which explore the current ecosystems of data and AI to foster understanding and solutions to ensure that data and AI work for people and society.
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How do people feel about AI?
A nationally representative survey of public attitudes to artificial intelligence in Britain
Discussion paper: Inclusive AI governance
Civil society participation in standards development
Looking before we leap
Expanding ethical review processes for AI and data science research
Looking before we leap: Case studies
Six case studies to support learning about common ethical issues in AI and data science research
Inform, educate, entertain… and recommend?
Exploring the use and ethics of recommendation systems in public service media
Rethinking data and rebalancing digital power
What is a more ambitious vision for data use and regulation that can deliver a positive shift in the digital ecosystem towards people and society?
A knotted pipeline
Data-driven systems and inequalities in health and social care
Expert explainer: 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
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