This paper summarises the use of analytics and algorithms for policing
within England and Wales, and explores different types of bias that can
arise during the product lifecycle. The findings are based on in-depth
consultation with police forces, civil society organisations, academics and
Algorithms used for predictive policing rely on datasets which are inherently biased because of historically over- or under-policing certain communities. This results in the amplification of those biases.
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