Our work
At the Ada Lovelace Institute we use a range of research methodologies to explore sociotechnical questions relating to data and AI
Programmes
Biometrics
Exploring how the governance of biometric data and technologies can be strengthened to keep pace with new applications and ethical questions.
Public sector use of data and algorithms
Building evidence on how data-driven technologies are shaping public services, and supporting approaches to public-sector algorithm accountability.
The future of regulation
Forecasting and shaping the role of regulation in mediating power over data and AI for the good of people and society
Health data and COVID-19 technologies
Exploring the impact of health technologies on people and society in the context of the COVID-19 pandemic.
Ethics and accountability in practice
Developing tools, mechanisms and processes that ensure AI systems work for people and society.
Projects
Algorithmic impact assessment in healthcare
A research partnership with NHS AI Lab exploring the potential for algorithmic impact assessments (AIAs) in an AI imaging case study.
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.
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.
Public dialogue on the ethics of location data
A partnership with Traverse, the Geospatial Commission and Sciencewise to understand public perspectives on the responsible use of location data.
Tackling health and social inequalities in data-driven systems
Research to examine the interaction between data-driven systems and health and social inequalities, in the wake of COVID-19.
Vaccine passports and COVID-19 status apps
An evidence review and expert deliberation of the practical and ethical issues around digital vaccine passports and COVID-19 status apps.
Rethinking data: working group for data regulations
An interdisciplinary and international group of experts to advise on the development of data governance and regulations
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
Evaluation of foundation models
What kinds of evaluation methods exist for foundation models, and what are their potential limitations?
Emerging processes for frontier AI safety
The UK Government has published a series of voluntary safety practices for companies developing frontier AI models
Working it out
Lessons from the New York City algorithmic bias audit law
Education and AI
The role of AI and data-driven technologies in primary and secondary education in the UK
Gender and AI
How does the use of data-driven systems exacerbate inequalities in access to primary healthcare for transgender and non-binary people in the UK?
Library
Safe before sale
Learnings from the FDA’s model of life sciences oversight for foundation models
Going public
Exploring public participation in commercial AI labs
Access denied?
Socioeconomic inequalities in digital health services