How algorithmic policing challenges fundamental rights protection in the EU : lessons from the United Kingdom

Tools

Harkens, Adam; (2024) How algorithmic policing challenges fundamental rights protection in the EU : lessons from the United Kingdom. In: The Challenges of Artificial Intelligence for Law in Europe. Data Science, Machine Intelligence, and Law . Springer. (In Press)

[thumbnail of Harkens-2024-How-algorithmic-policing-challenges-fundamental-rights] Text. Filename: Harkens-2024-How-algorithmic-policing-challenges-fundamental-rights.pdf
Accepted Author Manuscript
Restricted to Repository staff only until 1 January 2099.
License: Strathprints license 1.0
Download (890kB) | Request a copy

Abstract

Police forces in the United Kingdom are quickly emerging as global pioneers in the design, deployment, and use of algorithmic tools for pre-trial decision-making purposes: i.e., the prevention, detection, and investigation of criminal offending. Technologies enabling live facial recognition, geographic 'hotspot' mapping – and the predictive risk assessment of an individual's likelihood of future offending – can, and are, being used to make police decisions about whether to initiate surveillance and intelligence-gathering activities, whether to stop, question and/or search specific persons or their property, and/or whether to arrest and detain individuals suspected of criminal offending or of having significant risk of future offending.

CORE (COnnecting REpositories)