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Writing, thinking and debating about how data and AI can be made to work for people and society
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Data-driven responses to coronavirus are only as good as the trust we place in them
Data is bringing huge benefits in the fight against Covid-19, but we must remain vigilant about NHS plans to collaborate with tech giants.
The foundations of fairness for NHS health data sharing
How do the public expect the NHS, and third-party organisations to steward their data?
International Women’s Day: celebrating the Black women tackling bias in AI
This year’s International Women’s Day theme ‘Each for Equal’ has particular resonance for Black women who experience discrimination.
Think. Resist. Act local: is a slow AI possible?
Jeremy Crampton, Professor of Urban Data Analysis at Newcastle University on the three principles that could underpin a more mindful approach to AI.
What is or isn’t OK when it comes to biometrics?
Reflections from round one of the Citizens' Biometric Council.
Beginning ‘JUST AI’ – bravery and creativity for ethics in practice
Dr Alison Powell, Director of the newly established JUST AI network, on the need for bravery and creativity for ethics in practice.
Regulation of biometrics debated
To mark the beginning of an independent review on the governance of biometric data, Ada hosted a debate on UK biometrics regulation
Changing the data governance ecosystem – through narratives, practices and regulations
Today the Ada Lovelace Institute launches Rethinking Data.
Health data partnerships: Amazon/Department of Health and Social Care – Ada’s view
The use of NHS health data to develop new technologies raises important questions for people and society.
How will data and AI work for people and society after the UK General Election 2019?
We've taken a look at the five largest political parties’ manifesto commitments relating to data, AI, innovation, law enforcement and human rights.
Facial recognition: defining terms to clarify challenges
Facial recognition technology is a complex area, which means the risk of misunderstandings is high.
Pieces in the puzzle: why we need to convene diverse voices
When it comes to the societal impacts of AI and data, we need to tackle complex problems that don’t necessarily have objective solutions.