Our projects take evidence-based approaches to explore specific uses of data and AI at the intersection of technology and society
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COVID-19 technologies: international evidence, policy and practice
This project builds on work undertaken by the Ada Lovelace Institute in 2020 and 2021 to rapidly track, monitor and understand COVID-19 technologies
How do people feel about AI?
A nationally representative survey of the British public
Private-sector data for public good: modelling data access mandates
This project aims to model the legal backbone necessary for enabling access to data mandates in practice.
Supporting AI research ethics committees
Exploring solutions to the unique ethical risks that are emerging in association with data science and AI research.
Exploring the role of public participation in commercial AI labs
What public participation approaches are being used by the technology sector?
Independent legal review of the governance of biometric data in England and Wales
An independent legal review of the governance of biometric data, commissioned by the Ada Lovelace Institute and led by Matthew Ryder KC.
AI and genomics futures
This joint project with the Nuffield Council on Bioethics explores how AI is transforming the capabilities and practice of genomic science.
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?
The ethics of recommendation systems in public service media
Exploring the ethical implications of public service media use of recommendation systems.
The role of good governance and the rule of law in building public trust in data-driven responses to public health emergencies
Citizens' juries on the trustworthiness of data-driven technologies used in a public health emergency.
JUST AI reflection prototype
Generate your data and AI ethics 'fingerprint' and connect with others in the field
Algorithmic accountability for the public sector
Research with AI Now and the Open Government Partnership to learn from the first wave of algorithmic accountability policy.