Shaping the State of Machine Learning Algorithms within Policing: Workshop Report

Petros Terzis; Marion Oswald; Christine Rinik

Shaping the State of Machine Learning Algorithms within Policing: Workshop Report

Petros Terzis, Marion Oswald, Christine Rinik

Research output: Other contribution

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Abstract

A report to discuss the outcomes of a consultation workshop that took place on Thursday 6 June 2019 at the Royal United Services Institute, Whitehall, London with the purpose of moving the debate on machine learning algorithms within policing from high level principles towards a detailed discussion and critique of existing knowledge and research.
Run by the Centre for Information Rights and supported by the University of Winchester through the Higher Education Innovation Fund.

Original language	English
Type	Workshop report
Media of output	PDF
Number of pages	24
Publication status	Published - 26 Jun 2019

Access to Document

PDFFinal published version, 1.42 MBLicence: CC BY-NC-ND

Cite this

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title = "Shaping the State of Machine Learning Algorithms within Policing: Workshop Report",

abstract = "A report to discuss the outcomes of a consultation workshop that took place on Thursday 6 June 2019 at the Royal United Services Institute, Whitehall, London with the purpose of moving the debate on machine learning algorithms within policing from high level principles towards a detailed discussion and critique of existing knowledge and research.Run by the Centre for Information Rights and supported by the University of Winchester through the Higher Education Innovation Fund.",

author = "Petros Terzis and Marion Oswald and Christine Rinik",

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AB - A report to discuss the outcomes of a consultation workshop that took place on Thursday 6 June 2019 at the Royal United Services Institute, Whitehall, London with the purpose of moving the debate on machine learning algorithms within policing from high level principles towards a detailed discussion and critique of existing knowledge and research.Run by the Centre for Information Rights and supported by the University of Winchester through the Higher Education Innovation Fund.

M3 - Other contribution

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