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Artificial Intelligence and Contemporary Research Dimensions in Social Work Practice (An Edited Volume Bridging Technology, Society, and Human Values)
Artificial Intelligence is rapidly reshaping the landscape of social work practice by introducing new possibilities for assessment, intervention, and service delivery. Contemporary research in this field explores how AI-driven tools—such as predictive analytics, chatbots, and decision-support systems—can enhance case management, identify at-risk individuals earlier, and improve the efficiency of welfare programs. At the same time, scholars emphasize the need for ethical safeguards, cultural sensitivity, and human oversight to ensure technology supports rather than replaces the compassionate role of social workers. These emerging research dimensions show that the integration of AI into social work is not merely a technological shift but a transformation that can strengthen professional practice, expand access to services, and promote better outcomes for vulnerable communities.s.
Editors
Prof. Vinitha P., Head & Assistant Professor, PG Department of Social Work, St.Joseph’s College (Arts & Science), Kovur, Chennai
Dr.M.Baby., Assistant Professor, PG Department of Social Work, PG Department of Social Work, St.Joseph’s College (Arts & Science), Kovur, Chennai
Dr. Ignatius M., Assistant Professor, PG Department of Social Work, PG Department of Social Work, St.Joseph’s College (Arts & Science), Kovur, Chennai
Dr. Manimannan G., Assistant Professor, Department of Computer Applications, St. Joseph’s College (Arts & Science), Kovur, Chennai
Sub Themes
↠ AI and Data -Driven Social Work Research – Use of AI tools (ChatGPT, Scite, Elicit, etc.) for literature review, data interpretation, and report writing.
↠Digital Social Work Practice and Case Management Using digital tools for client tracking, remote counseling, and case documentation.
↠ AI in Mental Health and Psychological Support-Chatbots, predictive analytics, and emotion-sensing applications in counseling and therapy.
↠ Community Development in the Digital Era – Smart village initiatives, e-governance, and community mapping using AI and GIS.s
∘ Corporate Social Responsibility (CSR) and Industry Partnerships – AI for impact assessment, monitoring, and evaluation of CSR projects.
∘ Social Policy Analysis Using AI and Big Data – Predictive modeling for social problems like poverty, unemployment, and migration.
∘ Research Methodology and AI Integration – Using AI for survey design, qualitative coding, and statistical analysis (SPSS, NVivo, AI tools).
∘ Child Protection, Gender Studies, and Social Justice – Using AI-based systems for advocacy, awareness, and data monitoring of vulnerable groups.
↠ Ethical Challenges and Human Values in AI-Assisted Social Work – Balancing technology with empathy, confidentiality, and social responsibility.
↠ Education, Skill Development, and Field Training through AI Platforms – Virtual fieldwork simulations, e-learning, and AI-supported student mentorship.
↠ Future Directions: AI for Inclusive and Sustainable Social Work Practice – Building digital competencies for social workers and promoting global collaboration
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Terms and Conditions
↠ Chapters having below 10% Plagirism & below 30% AI allowed
↠ Chapters will be Published after Passing double blind Peer-Review
↠ Published as e-Book in Google Books with e-ISBN
↠ Applicable for your API Score B(I)-Annexure[X]
↠ Our Digital Marketing team will work for book Promoting and Author Popularity
Date of Submission
➱ Last Date for Submission: 20.12.2025
Processing Fees
Hard copy of the book with certificate – 800/-
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