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.
Original language | English |
---|---|
Article number | e17140 |
Pages (from-to) | 1-15 |
Number of pages | 15 |
Journal | Heliyon |
Volume | 9 |
Issue number | 6 |
DOIs | |
Publication status | Published - Jun 2023 |
Access to Document
10.1016/j.heliyon.2023.e17140Licence: CC BY
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Novitzky, P., Janssen, J., & Kokkeler, B. (2023). A systematic review of ethical challenges and opportunities of addressing domestic violence with AI-technologies and online tools. Heliyon, 9(6), 1-15. Article e17140. https://doi.org/10.1016/j.heliyon.2023.e17140
Novitzky, P ; Janssen, J ; Kokkeler, B. / A systematic review of ethical challenges and opportunities of addressing domestic violence with AI-technologies and online tools. In: Heliyon. 2023 ; Vol. 9, No. 6. pp. 1-15.
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title = "A systematic review of ethical challenges and opportunities of addressing domestic violence with AI-technologies and online tools",
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.",
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Novitzky, P, Janssen, J & Kokkeler, B 2023, 'A systematic review of ethical challenges and opportunities of addressing domestic violence with AI-technologies and online tools', Heliyon, vol. 9, no. 6, e17140, pp. 1-15. https://doi.org/10.1016/j.heliyon.2023.e17140
A systematic review of ethical challenges and opportunities of addressing domestic violence with AI-technologies and online tools. / Novitzky, P; Janssen, J; Kokkeler, B.
In: Heliyon, Vol. 9, No. 6, e17140, 06.2023, p. 1-15.
Research output: Contribution to journal › Review article › peer-review
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AU - Janssen, J
AU - Kokkeler, B
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N2 - 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.
AB - 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.
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Novitzky P, Janssen J, Kokkeler B. A systematic review of ethical challenges and opportunities of addressing domestic violence with AI-technologies and online tools. Heliyon. 2023 Jun;9(6):1-15. e17140. doi: 10.1016/j.heliyon.2023.e17140