Female Victims of Gendered Violence, Their Human Rights and the Innovative Use of Data Technology to Predict, Prevent and Pursue Harms

10 Pages Posted: 16 Mar 2021

See all articles by Jamie Grace

Jamie Grace

Sheffield Hallam University

Date Written: January 29, 2021

Abstract

This short paper has the objective of making the case for more investment to explore the use of data-driven technology to predict, prevent and pursue criminal harms against women. The paper begins with an overview of the contemporary scale of the issues, and the current problem of recording data on serious violent and sexual offending against women, before moving on to consider the current status and strength of positive obligations under UK human rights law to protect victims of intimate partner violence. The paper then looks at some examples of how data tech can augment policing of serious criminal harms against women, before turning to consider some of the legal problems concerning potential bias, inaccuracies and transparency that can dog 'predictive policing' in particular. Finally, a conclusion is offered up which explores the degree to which investment and exploration of the predictive policing of intimate partner violence must be pursued at the same time as better oversight mechanisms are also developed for the use of machine learning technology in public protection roles, since the two emphases go hand in hand.

Keywords: Data, abuse, women, victims, police, rights, duties

Suggested Citation

Grace, Jamie, Female Victims of Gendered Violence, Their Human Rights and the Innovative Use of Data Technology to Predict, Prevent and Pursue Harms (January 29, 2021). Available at SSRN: https://ssrn.com/abstract=3761207 or http://dx.doi.org/10.2139/ssrn.3761207

Jamie Grace (Contact Author)

Sheffield Hallam University ( email )

United Kingdom

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