The Role of Social Work in Addressing Domestic Violence: Trends and Challenges

Ashok  Kumar B

doi:10.69968/ijisem.2025v4i3307-312

Authors

Ashok Kumar B Assistant Professor, Department of Social Work, Government First Grade College, Narasimharajapura.

DOI:

https://doi.org/10.69968/ijisem.2025v4i3307-312

Keywords:

Social Work, Domestic Violence, Artificial Intelligence, Machine Learning, Education, Prevention, Intimate Partner Violence (IPV)

Abstract

Regardless of a person's gender, age, socioeconomic class, or ethnocultural background, domestic violence is still a serious and complicated societal problem that has become worse all around the globe. Smart technology services, programs, and solutions that are digital, online, or AI-based provide innovative ways to combat intimate partner abuse and other forms of domestic violence. Examine the function of social work in combating domestic violence in this article. This review highlights that initial unreported cases of domestic violence often remain unnoticed, leading to re-victimization and negative impacts on children. Emerging ML/AI-based forecasting tools offer potential in predicting and preventing IPV but require human oversight and community collaboration. The findings emphasize trauma-informed approaches, effective practices, and tailored interventions for social workers. Resilience is fostered through clear communication, supervision, mentoring, and collaborative networks, which reduce stress and build trust. Multi-actor approaches and support systems are crucial in combating exclusion and fatigue, thereby strengthening survivor-centered practices and enhancing the overall role of social work in addressing domestic violence.

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