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A systematic review of ethical challenges and opportunities of addressing domestic violence with AI-technologies and online tools

Novitzky, Peter; Janssen, Janine; Kokkeler, Ben; (2023) A systematic review of ethical challenges and opportunities of addressing domestic violence with AI-technologies and online tools. Heliyon , 9 (6) , Article e17140. 10.1016/j.heliyon.2023.e17140. Green open access

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Abstract

Domestic violence remains a pressing complex social problem of people of any gender, age, socio-economic status, and ethno-cultural background, an issue that worsened worldwide during the COVID-19 pandemic. Digital, online, or artificial intelligence-based smart technological services, applications, and tools provide novel approaches in addressing domestic violence, including intimate partner violence. This systematic literature review analyses the ethical challenges and opportunities these (protective) digital and smart technologies provide to the stakeholders involved. Our results highlight that the public health and societal issue are the leading narratives of domestic violence, which is predominantly interpreted as gender-based violence. The review highlights an emerging trend of the role of machine learning- and artificial intelligence-based approaches in identifying and preventing domestic violence. However, we argue that little recommendation is available to professionals about how to use these approaches in a responsible way, and that the smartness of high-tech technologies is often challenged by basic-level technologies from perpetrators, creating an imbalance that also limits an impactful development of a comprehensive socio-technical regime that serves the safety and resilience of families in their communal setting.

Type: Article
Title: A systematic review of ethical challenges and opportunities of addressing domestic violence with AI-technologies and online tools
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.heliyon.2023.e17140
Publisher version: https://doi.org/10.1016/j.heliyon.2023.e17140
Language: English
Additional information: © 2023 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > STEaPP
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10172052
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