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Paper Presentation

Technology in Social Work Education and Practice

Session: Preparing Social Workers to Work with AI

Weaving AI into the Fabric of Social Work: A Flexner-Guided Exploration

This study examines AI's potential in social work, guided by Flexner's 1915 principles. It explores AI's role in pedagogy, research, and interventions while highlighting ethical concerns like data privacy, algorithmic biases, and the "AI divide." The study calls for careful AI integration, ensuring it aligns with social work's core values.

Learning Objectives:

At the end of this session, attendees should be able to:
  1. Upon completion, the participant will be able to describe how artificial intelligence can enhance social work education, practice, and research, while promoting inclusive and equitable learning and practice environments.
  2. Upon completion, the participant will be able to identify ethical considerations in the integration of AI into social work, including the importance of safeguarding client autonomy, privacy, and ensuring fair access to technological resources.
  3. Upon completion, the participant will be able to demonstrate how AI can be applied to improve decision-making, interventions, and case management in social work, while maintaining the profession’s commitment to human dignity and social justice.