The Centre for Data Ethics and Innovation (CDEI) has published its review into bias in algorithmic decision-making.
Name in original language
Review Into Bias in Algorithmic Decision-making
Initiative overview
The review draws on a detailed analysis of the use of algorithms in four sectors (financial services, local government, policing and recruitment), and proposes significant measures for government, regulators and industry to take to tackle the risks of algorithmic bias. Key recommendations within the report include: Organisations should be actively using data to identify and mitigate bias. They should make sure that they understand the capabilities and limitations of algorithmic tools that they are using, and carefully consider how they will ensure that individuals are fairly treated. Government should place a mandatory transparency obligation on all public sector organisations using algorithms that have an impact on significant decisions affecting individuals. Government should issue guidance that clarifies the application of the Equality Act to algorithmic decision-making. This should include guidance on the collection of protected characteristics data to measure bias and the lawfulness of bias mitigation techniques.The initiative has the following objective(s):To issue cross-cutting recommendations that aim to help build the right systems so that algorithms improve decision-making.
Name of responsible organisation (in English)
Centre for Data Ethics and Innovation (CDEI)
