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Supporting AI research ethics committees
Exploring solutions to the unique ethical risks that are emerging in association with data science and AI research.
Looking before we leap
Expanding ethical review processes for AI and data science research
Voices in the Code: A Story about People, Their Values, and the Algorithm They Made
David G. Robinson in conversation with Professor Shannon Vallor
Expert opinion: Regulating AI in Europe
Four problems and four solutions
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
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.
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
National approaches to online harms regulation
How will approaches to regulation work in practice?
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