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Related Experiment Video

Updated: Jan 10, 2026

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
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Published on: September 26, 2025

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

Gökhan Boduroğlu1, Abdülkadir Karabulut1, Hakan Karaağaç2

  • 1Sungurlu Vocational School, Department of Social Work and Counseling, Hitit University, Çorum, Türkiye.

Journal of Evidence-Based Social Work (2019)
|November 26, 2025
PubMed
Summary

Artificial intelligence (AI) offers social work enhanced risk analysis and accessibility but poses challenges to human-centered care. Ethical training and policy are crucial for integrating AI effectively into social work practice.

Keywords:
Artificial intelligencedigital transformationqualitative researchsocial work

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Area of Science:

  • Social Work
  • Artificial Intelligence
  • Digital Transformation in Social Services

Background:

  • Social work practice is evolving with technological advancements.
  • Integrating artificial intelligence (AI) presents both opportunities and challenges for service delivery.
  • Understanding professional needs is key to navigating AI adoption.

Purpose of the Study:

  • To explore the integration of AI in social work practice.
  • To identify how AI can enhance service effectiveness, accessibility, and ethics.
  • To determine professional training needs for AI in social work.

Main Methods:

  • Interpretative phenomenological approach.
  • Semi-structured interviews with 23 social workers in Türkiye.
  • Thematic analysis using MAXQDA software.

Main Results:

  • AI offers benefits like improved risk analysis, faster interventions, and better access for disadvantaged groups.
  • Challenges include potential loss of human-centeredness, ethical/privacy risks, and infrastructure gaps.
  • Professionals highlighted concerns about employment and the need for humanistic values in AI.

Conclusions:

  • AI integration in social work requires careful consideration of ethical standards and professional training.
  • Policy development is needed to align AI innovation with humanistic social work values.
  • AI should complement, not replace, the relational core of social work practice.