Course

Unit 1

Foundations of AI and Data in Social Work (6–8 hours)

Basic AI concepts: automation, chatbots, generative AI; Myths vs realities of AI; Data and its nature; Ethics in data and using AI; Benefits and limitations of AI

Unit 2

AI for Field Engagement (10–12 hours)

AI tools for PRA; AI tools for data collection—types of tools and its uses; AI tools for data governance

Unit 3

AI for Documentation, Analysis & Reporting (10–12 hours)

Documentation and reporting in micro/mezzo/macro practice; Drafting case summaries; Analysis & Visualization tools; Ethical concerns

Text Books / References

Reference Textbooks

• Reamer, F. G. (2023). Artificial Intelligence in Social Work: Emerging Ethical Issues.
• NASW (2024). AI and Social Work Ethics Guidelines

This course introduces Social Work students to the fundamentals of Artificial Intelligence through simple, practice-oriented learning. Emphasizing hands-on applications enables learners to use AI tools for PRA activities, data collection, analysis, and field documentation. With a strong focus on digital literacy and ethical practice, the course prepares students to integrate AI responsibly within community, agency, and research settings. By the end, learners will be equipped to apply AI tools to enhance decision-making, reporting, and professional social work practice.

Prerequisites: Basic knowledge of social work methods and fieldwork

Course Objectives:

1. Understanding AI concepts in simple, practice-oriented terms,
2. Using AI to support data collection, PRA, and field engagement, and
3. Applying AI for documentation, analysis, and reporting, with a strong focus on ethics.

Course Outcomes:

• CO1: Explain core concepts of artificial intelligence in language appropriate for social work practice.
• CO2: Identify opportunities and limitations for AI applications in micro-, mezzo-, and macro-level social work settings.
• CO3: Use freely accessible AI tools to support PRA, survey design, data collection, basic analysis, and reporting.
• CO4: Produce fieldwork documentation (case notes, PRA summaries, reports, and awareness materials) with AI assistance.
• CO5: Demonstrate ethical and responsible decision-making when handling data and using AI tools in community and agency contexts.

Skills:

• Digital Literacy for Social Work Practice towards building competence in AI tools
• Applied AI skills for community practice, including PRA and data collection.
• Basic data interpretation and reporting skills.
• Ethical decision-making skills in fieldwork while handling data and digital tools.

CO-PO Mapping: (Course Outcome and Program Outcome Mapping)

Evaluation Pattern