Artificial Intelligence in the Detection and Monitoring of Intimate Partner Violence Among Women Living with HIV/AIDS: A Systematic Review of Tools, Models, and Ethical Implications
Abstract
The systematic review delved into the application of artificial intelligence in the detection and monitoring of intimate partner violence among women having HIV/AID. It focuses on exploring artificial intelligence tools and models that is designed to detect the victims of intimate partner violence, underscoring their effectiveness and limitations. In addition to this, the study tackled ethical considerations like consent, privacy, bias showing the need for responsible artificial intelligence deployment. The findings highlight that artificial intelligence offers valuable support in intimate partner violence intervention, adequate care to ethical frameworks is important to protect and enhance this vulnerable population.
Keywords
Artificial Intelligence, intimate partner violence, women, HIV/AID, Bias
Citations
IRE Journals:
Juwon Christianah Agbetayo, Olaitan Theresa Bamigboye, Oluwakemi Christie Ogidan, Kehinde Oke Agbetayo "Artificial Intelligence in the Detection and Monitoring of Intimate Partner Violence Among Women Living with HIV/AIDS: A Systematic Review of Tools, Models, and Ethical Implications" Iconic Research And Engineering Journals Volume 9 Issue 8 2026 Page 1581-1588 https://doi.org/10.64388/IREV9I8-1714384
IEEE:
Juwon Christianah Agbetayo, Olaitan Theresa Bamigboye, Oluwakemi Christie Ogidan, Kehinde Oke Agbetayo
"Artificial Intelligence in the Detection and Monitoring of Intimate Partner Violence Among Women Living with HIV/AIDS: A Systematic Review of Tools, Models, and Ethical Implications" Iconic Research And Engineering Journals, 9(8) https://doi.org/10.64388/IREV9I8-1714384
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