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• W4380202382 endingPage "e17140" @default.
• W4380202382 startingPage "e17140" @default.
• W4380202382 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." @default.
• W4380202382 created "2023-06-11" @default.
• W4380202382 creator A5014779228 @default.
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• W4380202382 date "2023-06-01" @default.
• W4380202382 modified "2023-09-23" @default.
• W4380202382 title "A systematic review of ethical challenges and opportunities of addressing domestic violence with AI-technologies and online tools" @default.
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• W4380202382 doi "https://doi.org/10.1016/j.heliyon.2023.e17140" @default.
• W4380202382 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37342580" @default.
• W4380202382 hasPublicationYear "2023" @default.
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