Our work
At the Ada Lovelace Institute we use a range of research methodologies to explore sociotechnical questions relating to data and AI
Research domains
Emerging Technology & Industry Practice
Ensuring that the benefits of new technologies are distributed equitably and that potential harms are prevented.
Law & Policy
Interrogating how existing and emerging AI and data law, regulation, governance and policy meets the needs of people and society.
Public Participation & Research
Ensuring that the voices of people affected by data and AI contribute to building and shaping evidence, research, policy and practices.
Society, Justice & Public Services
Shaping how political choices and public services will be designed in the information age.
Projects
Quality assurance
Exploring the potential for a professionalised AI assurance industry
Approaches to public compute
Mapping global approaches
Anticipating today
Co-designing new resources for policymakers to better anticipate societal and ethical impacts of emerging technologies
Public voices in AI
Exploring how to represent public voices in AI research, development and policy
How can (A)I help?
An exploration of AI assistants.
Return to reality
An exploration of immersive technologies.
Participatory and inclusive data stewardship
How to involve people in the governance of their data.
Procurement of AI and data-driven systems in local government
The role of procurement in ensuring that AI and data-driven systems used in local government work for people and communities.
Library
Spending wisely
Redesigning the landscape for the procurement of AI in local government
New rules?
Lessons for AI regulation from the governance of other high-tech sectors
Buying AI
Is the public sector equipped to procure technology in the public interest?