Projects
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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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.
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.
Legal mechanisms for data stewardship
A working group to explore different legal structures that support responsible management of data.
Rapid, online deliberation on COVID-19 technologies
Rapid, online deliberation with 28 members of the public on COVID-19 exit strategies.
Exploring principles for data stewardship
An open set of case studies exploring principles for data stewardship.
Regulatory inspection of algorithmic systems
Establishing mechanisms and methods for regulatory inspection of algorithmic systems, sometimes known as 'algorithm audit'.
Accountability of algorithmic decision-making systems
Developing foundational tools to enable accountability of public administration algorithmic decision-making systems.
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.
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.
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.
Boundaries of health data
Exploring how the datafication of health occurs and what consequences it has for people and society.
Mapping AI and data ethics
Mapping the AI and data ethics field to understand the actors, issues and perspectives that constitute the space