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1–12 of 12
Lessons from the New York City algorithmic bias audit law
Assessing and mitigating risks across the AI lifecycle
A rapid review of the development and deployment of foundation models in the UK public sector
Ada’s Director Carly Kind reflects on the last year and looks ahead to 2023
David G. Robinson in conversation with Professor Shannon Vallor
We are convening experts from policy, industry, healthcare and AI ethics to discuss our recent case study and the future of AIAs.
Seven design challenges for the successful implementation of algorithmic impact assessments
This report sets out the first-known detailed proposal for the use of an algorithmic impact assessment for data access in a healthcare context
Pioneering framework for assessing the impact of medical AI set to be trialled by NHS in world-first pilot
The Ada Lovelace Institute has designed an algorithmic impact assessment (AIA) for the NHS AI Lab, the first known example within healthcare.
Learning from the first wave of policy implementation
New research highlights lessons learnt from first wave of global policy mechanisms to increase algorithmic accountability in the public sector
The first global study analysing the first wave of algorithmic accountability policy for the public sector
A research partnership with NHS AI Lab exploring the potential for algorithmic impact assessments (AIAs) in an AI imaging case study.