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The data divide
Public attitudes to tackling social and health inequalities in the COVID-19 pandemic and beyond
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.
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.
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.
Inspecting algorithms in social media platforms: bridging regulators and independent auditors
CRAFT session at the 2021 ACM Conference on Fairness, Accountability, and Transparency
Disambiguating data stewardship
Why what we mean by ‘stewarding data’ matters
Exploring legal mechanisms for data stewardship
Launch of a joint publication with the AI Council exploring legal mechanisms that could help facilitate responsible data stewardship
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
The socio-technical challenges of designing and building a vaccine passport system
The fourth in a series of public evidence events on vaccine passports and COVID status apps.
Why the COVID-19 shielded patient list might both compound and address inequalities
Wicked problems in the use of data-driven systems
A shot in the arm, not a shot in the dark
7 steps for Government to clarify whether vaccine passports should have a place in society
What place should COVID-19 vaccine passports have in society?
Findings from a rapid expert deliberation to consider the risks and benefits of the potential roll-out of digital vaccine passports