Artificial Intelligence in Social Work Education

This chapter explores the integration of artificial intelligence (AI) in social work education, focusing on ethical frameworks to address digital divides in global higher education. Drawing from recent advancements in AI ethics and evidence-based practice, the chapter examines how AI can enhance teaching, learning, and research while mitigating risks including bias, inequity, and privacy concerns. It emphasizes rights-based approaches informed by social psychology, group dynamics, and institutional analysis. The chapter employs a conceptual analysis methodology, synthesizing theoretical frameworks and empirical literature to develop actionable guidance for practitioners. Key sections cover ethical principles and strategies for inclusive implementation. The chapter highlights the significance of fostering viewpoint diversity and open inquiry, contributing to sustainable higher education practices amid technological disruption. Through comprehensive analysis of current challenges, practical implementation strategies, and future directions, this work provides educators, policymakers, and practitioners with frameworks for ethical AI integration that promotes equity and accessibility in social work education worldwide.