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Working it out
Lessons from the New York City algorithmic bias audit law
AI assurance?
Assessing and mitigating risks across the AI lifecycle
Foundation models in the public sector
A rapid review of the development and deployment of foundation models in the UK public sector.
The Ada Lovelace Institute in 2022
Ada’s Director Carly Kind reflects on the last year and looks ahead to 2023
Voices in the Code: A Story about People, Their Values, and the Algorithm They Made
David G. Robinson in conversation with Professor Shannon Vallor
From principles to practice: what next for algorithmic impact assessments?
We are convening experts from policy, industry, healthcare and AI ethics to discuss our recent case study and the future of AIAs.
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
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.
Algorithmic accountability for the public sector
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
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.