Social Work Practice and Artificial Intelligence for the Common Good

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Social Work Practice and Artificial Intelligence for the Common Good is the first university-level textbook to address how AI can be leveraged for the common good without reproducing systemic inequities, whilst addressing how social workers can develop the digital literacy necessary to evaluate, design, and ethically use AI tools.

Social Work Practice and Artificial Intelligence for the Common Good is the first university-level textbook to address how artifical intelligence (AI) can be leveraged for the common good without reproducing systemic inequities, whilst also addressing how social workers can develop the digital literacy necessary to evaluate, design, and ethically use AI tools.

Drawing on global case studies, practice-based examples, and a range of pedagogical tools, this book:

• Introduces AI concepts in plain language for non-technical learners.
• Explores ethical dilemmas, bias, and the implications of automation in human services.
• Connects AI use cases to micro, mezzo, and macro practice levels.
• Provides tools for advocacy, policy engagement, and community-based technology design.
• Positions social workers as active shapers of emerging technologies rather than passive adopters.
• Embeds equity, human rights, and the National Association of Social Workers (NASW) Code of Ethics into AI discussions.

Offering chapter-critical thinking questions, empowerment-focused activities, reflection prompts, interviews with experts, and support materials, this textbook will be relevant to all students of social work, public policy, and human services. This book will also be of interest to practitioners in nonprofit and public service sectors, and faculty members looking to advance their understanding and infuse AI literacy in their courses.

Obsah

List of figures. List of tables. Preface. Acknowledgments. Glossary Part I: Foundations 1.Social Work Practice in the Age of Artificial Intelligence 2.History of Technology in Human Services 3.ICT, IoT, and AI 4.Generative AI and Agentic AI Part II: Ethics, Equity, and Justice 5.Algorithmic Bias and Structural Inequality 6.AI Ethics in Human Services 7.Human Rights and AI Governance 8.Prompt Engineering for Social Workers Part III: AI across Social Work Practice 9.AI for Children and Family Services 10.AI for Mental Health Services 11.AI for Older Adults and People with Disabilities Part IV: Empowerment and Building Competencies 12.Human-Centered AI Design for the Common Good 13.Global Perspectives on AI and Social Work 14.AI Literacy for Social Workers in the Future. Index