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New, independent evidence review helps policymakers understand public attitudes about AI and how to involve the public in AI decision-making
The Ada Lovelace Institute has published a new rapid review of evidence on public attitudes about AI and how to involve the public in AI policy.
Foundation models in the public sector
AI foundation models are integrated into commonly used applications and are used informally in the public sector
Dame Julie Maxton appointed as Chair of the Ada Lovelace Institute
Her three-year term as Chair will begin in October, succeeding Professor Dame Wendy Hall.
Working it out
Lessons from the New York City algorithmic bias audit law
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?
Education and AI
The role of AI and data-driven technologies in primary and secondary education in the UK
Tackling health and social inequalities in data-driven systems
The event follows a three-year long programme of research, conducted in partnership with The Health Foundation.
Access denied?
Socioeconomic inequalities in digital health services
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?
Seizing the ‘AI moment’: making a success of the AI Safety Summit
Reaching consensus at the AI Safety Summit will not be easy – so what can the Government do to improve its chances of success?
DNA.I.
Early findings and emerging questions on the use of AI in genomics
Listening to the public
Views from the Citizens’ Biometrics Council on the Information Commissioner’s Office’s proposed approach to biometrics