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Full Description
This open access book is a comprehensive examination of how artificial intelligence (AI) is transforming the field of social work across practice, education, and research. This topic is particularly important to the field at this time due to the rapid integration of AI technologies into societal structures and the increasing demand for social services that are efficient, effective, and ethically sound. The book provides timely insights into how AI can be harnessed to address complex social issues while maintaining the core values of social work. It emphasizes the critical need for professionals to understand and navigate the ethical implications of AI, ensuring that technological advancements serve to enhance, rather than compromise, human well-being.
Organized into five parts, the book begins with a foundational overview in Part I, introducing the role of AI in transforming social work. Part II explores AI applications responding to social needs, covering critical areas such as poverty, child welfare, health care, mental health, substance abuse, support for older adults, communities at risk, criminal justice, and human trafficking prevention. Part III delves into AI's impact on social justice in changing contexts, including advocacy, environmental challenges, the evolving workplace, and international issues. Part IV focuses on AI in social work education and research, highlighting how AI tools enhance learning and scholarly inquiry. Part V addresses ethical considerations and future directions, discussing challenges, governance, and strategies for building AI literacy, culminating in a conclusion that outlines opportunities for AI in social work.
Artificial Intelligence in Social Work: Bridging Technology and Humanity equips social work practitioners, educators, researchers, and students with a deep understanding of AI's capabilities and implications within various social work domains. The book offers practical guidance on integrating AI into various aspects of social work practice, enhancing service delivery, and improving client outcomes. For educators and students, it provides a framework for incorporating AI literacy into social work curricula, preparing the next generation of professionals for a technologically advanced landscape. Researchers benefit from insights into innovative methodologies that leverage AI for more robust and impactful studies. By intertwining technological advancements with the human-centric values of social work, the book underscores the necessity of balancing innovation with compassion and ethical responsibility.
Contents
Part 1 Foundations of AI in Social Work.- Chapter 1 Introduction—The Role of AI in Transforming Social Work Practice, Education, and Research.- Chapter 2 Ethical Foundations of AI in Social Work.- Part 2 AI Applications Responding to Social Needs.- Chapter 3 AI in Combating Poverty and Economic Inequality.- Chapter 4 AI in Child Welfare and Family Services.- Chapter 5 AI in Healthcare and Health Disparities.- Chapter 6 AI for Physical, Cognitive, and Developmental Challenges.- Chapter 7 AI in Supporting LGBTQI+ Populations.- Chapter 8 AI in Sexual and Domestic Partner Violence.- Chapter 9 AI in Mental Health Services.- Chapter 10 AI in School Social Work.- Chapter 11 AI in Substance Use and Addiction Prevention.- Chapter 12 AI in Serving Older Adults.- Chapter 13 AI in Communities at Risk and Housing Stability.- Chapter 14 AI in Criminal Justice and Rehabilitation.- Chapter 15 AI in Human Trafficking Prevention and Safety.- Part 3 AI and Social Justice in Changing Contexts.- Chapter 16 AI in Advocacy and Social Justice.- Chapter 17 AI in Environmental Social Work and Climate Change.- Chapter 18 AI in the Evolving Workplace.- Chapter 19 AI in International Social Work and Global Issues.- Part 4 AI in Social Work Education and Research.- Chapter 20 AI in Social Work Education.- Chapter 21 AI in Social Work Research.- Part 5 Ethical Considerations and Future Directions.- Chapter 22 Ethical Challenges and AI Governance in Social Work.- Chapter 23 Building AI Literacy and Competency in Social Work.- Chapter 24 Conclusion—Challenges and Opportunities for AI in Social Work.
