How can policing demonstrate that algorithms are fair and unbiased in using policing data?
Background
"Analytics is the ability to synthesise information to draw insights that can lead to actionable decisions, often in combination with other information and at scale.
We recognise that policing’s increasing use of analytics, including in areas such as risk assessment, come with an obligation to ensure the public understand what we are doing and consent to it. To achieve this requires deriving better answers to a set of questions that afford the public transparency and voice. We identify this as a separate ARI because it is central to our overarching ambition to build public confidence and because we believe research is needed to develop best practice."
Next steps
"We welcome your engagement with our ARIs in the following ways:
• If you have evidence that completely or partly supports or answers one of our ARIs, we invite you to share that with us. For any ongoing research relevant to policing and crime reduction, we encourage you to register your research on the College of Policing’s research projects map, which has been designed to promote collaboration and support requests for participants.
• If you are, or plan to be, carrying out research that relates to one of our ARIs, we’d like to hear about it. While we cannot respond to speculative approaches for research funding, we will where possible act to support your ambitions, including finding you policing partners where possible.
• If you are submitting a funding or grant application that aligns with one of our ARIs, we hope that referencing policing’s ARIs will help to strengthen your case for the possible public impact of the research.
• We will use the ARI document to structure our academic engagement, prioritise events and build new connections with external partners. We will be using our ARIs in our engagement with UKRI, and we will publish any opportunities for funding via our website https://science.police.uk/
Please send any correspondence and questions to [email protected], including ‘ARI’ in the subject heading."
Source
This question was published as part of the set of ARIs in this document:
Research fields
Related UKRI funded projects
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A Research Network to Explore the Use and Regulation of Predictive Analytics in Policing
Advances in big data, information processing technology, and artificial intelligence are purported to confer immense benefits to law enforcement agencies when investigating crimes and administering criminal justice, incl...
Funded by: AHRC
Lead research organisation: University of Sheffield
Why might this be relevant?
Partially addresses the question by discussing the potential risks and challenges of predictive policing.
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"Ethical Review to Support Responsible AI in Policing - A Preliminary Study of West Midlands Police's Specialist Data Ethics Review Committee "
The deployment of AI and emerging technologies by the police, while promising more effective use of data for the prevention and detection of crime, brings with it considerable threats of disproportionality and interferen...
Funded by: AHRC
Lead research organisation: Northumbria University
Why might this be relevant?
The project specifically focuses on ethical review and responsible AI in policing, addressing transparency and public trust concerns.
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Policing Academic Centre of Excellence
This application comes from a consortium of three Universities – University of Leicester, Aston University and the University of Birmingham, to form the Policing Academic Centre of Excellence, Leicester, Aston, Birmingha...
Funded by: ESRC
Lead research organisation: UNIVERSITY OF BIRMINGHAM
Why might this be relevant?
The project focuses on transparency and ethical use of data analytics in policing, but does not specifically address demonstrating fairness and unbiased algorithms.