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Code & conduct
How to create third-party auditing regimes for AI systems
Going public
Exploring public participation in commercial AI labs
Foundation models in the public sector
AI foundation models are integrated into commonly used applications and are used informally in the public sector
Working it out
Lessons from the New York City algorithmic bias audit law.
AI assurance?
Assessing and mitigating risks across the AI lifecycle
Exploring the role of public participation in commercial AI labs
What public participation approaches are being used by the technology sector?
Realising the potential of algorithmic accountability mechanisms
Seven design challenges for the successful implementation of algorithmic impact assessments
Algorithmic impact assessment: a case study in healthcare
This report sets out the first-known detailed proposal for the use of an algorithmic impact assessment for data access in a healthcare context
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.