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The Role of Artificial Intelligence for Intimate Partner Violence Prevention: A Systematic Review
Yang Li1, Chuka Emezue2, Chen Song3
1School of Nursing, The University of Texas at Austin, Austin, Texas, USA.
Journal of Clinical Nursing
|March 9, 2026
Summary
Artificial intelligence (AI) tools show promise in improving intimate partner violence (IPV) detection and support. However, further research is needed to address ethical concerns and ensure equitable implementation for effective IPV prevention.
Area of Science:
- Public Health
- Computer Science
- Digital Health
Background:
- Intimate partner violence (IPV) is a global health issue with traditional prevention methods facing challenges.
- Artificial intelligence (AI) offers novel approaches to enhance IPV prevention strategies.
Purpose of the Study:
- To systematically review and synthesize evidence on AI-driven tools for IPV prevention.
- To map AI applications in IPV prediction, screening, intervention, and support delivery.
Main Methods:
- Systematic review following PRISMA 2020 guidelines, searching multiple databases (PubMed, Embase, CINAHL, PsycINFO, IEEE Xplore, Web of Science).
- Inclusion of studies evaluating AI technologies for IPV prediction, screening, intervention, or support.
- Quality appraisal using the Mixed Methods Appraisal Tool (MMAT).
Main Results:
- 41 studies met eligibility criteria, utilizing AI for risk prediction (ML), IPV detection (NLP), forensic analysis, and chatbot support.
- AI demonstrated strong performance in predictive modeling and notable sensitivity in NLP-based screening.
- Chatbots showed feasibility and user acceptance, but limited evidence exists for direct IPV incidence reduction.
Conclusions:
- AI interventions show potential for enhanced IPV detection, risk assessment, and scalable support.
- Key challenges include algorithmic bias, data privacy, and integration barriers.
- Future research must address ethical fairness, transparency, and equitable implementation for responsible AI deployment in IPV prevention.
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