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High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
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Artificial Intelligence Algorithms, Bias, and Innovation: Implications for Social Work.

Ishita Kapur1, Reeve Kennedy2, Christy Hickman1

  • 1College of Social Work, The University of Tennessee, Knoxville, USA.

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

Social work students expressed concerns and identified opportunities regarding artificial intelligence (AI) integration. Increased AI awareness and training are crucial for ethical social work practice and education.

Keywords:
Artificial intelligencealgorithmsmarginalizationpolicysocial work

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Published on: September 26, 2025

Area of Science:

  • Social Work
  • Artificial Intelligence
  • Technology Ethics

Background:

  • Artificial Intelligence (AI) is increasingly integrated into various professional fields.
  • The growing presence of AI necessitates understanding its implications within social work.
  • Student perspectives on AI in social work education and practice remain underexplored.

Purpose of the Study:

  • To investigate social work students' views on the expanding role of AI in their field.
  • To identify student perceptions of AI's potential benefits and challenges in social work practice.
  • To explore the need for AI-related training and awareness in social work programs.

Main Methods:

  • Qualitative study employing structured interviews with 15 social work students (bachelors and masters).
  • Utilized an interpretive phenomenological analysis approach.
  • Interview guide developed to explore AI perspectives without requiring prior AI knowledge.

Main Results:

  • Thematic analysis revealed five key themes: AI risks, ethical concerns, bias and fairness, applications in social work, and training needs.
  • Students recognized both the potential applications of AI in social work and associated ethical considerations.
  • A significant theme highlighted the necessity for enhanced AI training and awareness among social work students.

Conclusions:

  • Findings underscore the importance of integrating AI awareness into social work education and practice.
  • Social workers can leverage AI to support disadvantaged clients and improve social welfare interventions.
  • Further research, including mixed-methods studies, is recommended to evaluate AI's impact on social work domains.