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Potential Challenges and Opportunities in AI-Enabled Social Work Practices in Türkiye

2025·0 Zitationen·Journal of Evidence-Based Social Work
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4

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2025

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Abstract

PURPOSE: This study explores how artificial intelligence (AI) can be integrated into social work practice by examining both its potential opportunities and associated challenges. The research aims to determine how AI technologies can support social workers in delivering more effective, accessible, and ethical services, and to identify the professional training needs that may arise from this digital transformation. METHOD: Using an interpretative phenomenological approach grounded in human-centered and ethical social work principles, data were collected through semi-structured interviews with 23 social workers from diverse fields in Türkiye and analyzed thematically with MAXQDA. FINDINGS: Participants identified several advantages of AI integration, including enhanced risk analysis, rapid intervention capacity, improved service quality, cost-effectiveness, and easier access for disadvantaged populations. However, they also emphasized challenges such as the loss of human-centered approaches, ethical and privacy risks, insufficient technological infrastructure, and potential employment concerns. ORIGINALITY AND CONTRIBUTION: The study contributes to the limited qualitative research on AI in social work by presenting practice-based insights from professionals. It emphasizes the need for comprehensive, ethics-oriented AI education and policy development to ensure technological innovation aligns with the profession's humanistic values. It also highlights the importance of addressing conceptual tensions between technological innovation and human-centered practice, offering insights to inform AI-focused training and education in social work. CONCLUSIONS: While AI offers significant opportunities for innovation and inclusion, its integration must be guided by ethical standards, professional training, and adequate infrastructure to ensure that it complements rather than replaces the relational foundations of social work.

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Social Work Education and PracticeArtificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI
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