Search
Browse the Ada Lovelace Institute website.
Filter by:
Active filters:
Exploring legal mechanisms for data stewardship
A joint publication with the AI Council, which explores three legal mechanisms that could help facilitate responsible data stewardship
Ada’s National Data Strategy consultation response
A summary of the Ada Lovelace Institute's response to the National Data Strategy consultation
Participatory data governance
Enabling a participatory approach to data use, access, sharing and governance where beneficiaries can control and oversee the use of their data.
Boundaries of health data
Exploring how the datafication of health occurs and what consequences it has for people and society.
The data will see you now
Exploring the datafication of health: what it is, how it occurs, and its impacts on individual and social wellbeing
Health datafication, digital phenotyping and the ‘Internet of Health’
A new report from the Ada Lovelace Institute explores the datafication of health, how it manifests and the consequences for people and society.
Delivering responsible data through the National Data Strategy
Examining how the commitment to responsible data in the UK's National Data Strategy could be realised and what it misses
Should more public trust in data-driven systems be the goal?
To better understand the limits of public trust in data-driven systems, we must acknowledge the role structural inequalities play in shaping trust
Data, Compute, Labour
The monopolisation of AI is not just – or even primarily – a data issue.
How do we ensure the voices of citizens are heard?
A summary of the second panel on the Ethics & Society stage at CogX 2020 - Day 1
Ada Lovelace Institute curates ‘Ethics & Society’ at CogX 2020
Announcing the Ada Lovelace Institute-curated day of talks at virtual CogX 2020 – the international festival of AI.
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.