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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.
Don’t start with the data: a people-centred approach to addressing health inequalities
Why identities and experiences can’t be reduced to categories
AI and genomics futures
This joint project with the Nuffield Council on Bioethics explores how AI is transforming the capabilities and practice of genomic science.
Getting under the hood of big tech
Auditing standards in the EU Digital Services Act
Realising the potential of algorithmic accountability mechanisms
Seven design challenges for the successful implementation of algorithmic impact assessments
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 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
Call for input: new AI and genomics project
Call for input: new AI and genomics project
Making interoperability work in practice: forms, business models and safeguards
Equitable interoperability as a standard
Three proposals to strengthen the EU Artificial Intelligence Act
Recommendations to improve the regulation of AI – in Europe and worldwide
Regulate to innovate – report launch event
How should the UK Government approach the regulation of AI?
Technical methods for regulatory inspection of algorithmic systems
A survey of auditing methods for use in regulatory inspections of online harms in social media platforms