AKTU Artificial Intelligence in Human Resource Management (BMBAHR05) Syllabus PDF – MBA (Business Analytics) 4th Semester

Course Objectives

1. Understand the fundamentals and evolution of AI in HRM.
2. Explore how AI is transforming traditional HR functions.
3. Analyze the ethical, operational, and strategic implications of AI in people management.
4. Develop skills in using AI-driven HR tools for decision-making and communication.

Unit 1: The Dawn of AI in HR (6 Hours)

Introduction to AI and Machine Learning: Concepts & Terminologies, Historical evolution of HR technology, Drivers of AI adoption in HR, Benefits and limitations of AI in HR, Case Studies: Early adopters and their outcomes. Activities: Class debate on “AI as a disruptor vs. enabler in HR”

Unit 2: Unraveling the AI and HR Interface (6 Hours)

Talent Acquisition: AI-enabled recruitment tools, chatbots, resume screening, Onboarding and training:

Virtual assistants, L&D personalization, Performance Management and Feedback Systems, Employee Lifecycle Automation, Legal and Ethical implications in AI-driven HR processes Activities: Tool Demonstration – students analyze existing AI HR software (e.g., HireVue, Pymetrics, Eightfold AI)

Unit 3: AI Impact: Driving Efficiency in HR (8 Hours)

Automation of repetitive HR tasks, Time and cost savings through AI, Workforce planning and optimization, Predictive analytics in employee attrition and engagement, AI-driven payroll and benefits administration.

Case Study: Comparison of manual vs. AI-based HR processes in a mid-size firm

Unit 4: From Insight to Foresight: AI in Data Analysis (8 Hours)

HR metrics and KPIs supported by AI, Predictive modelling in hiring, retention, performance, Natural Language Processing (NLP) in employee sentiment analysis, AI for diversity, equity & inclusion (DEI) analytics, Ethical considerations in people analytics, Activity: Group project on creating an HR analytics dashboard using mock data

Unit 5: Changing the Way HR Communicates: AI and Personalization (8 Hours)

AI in internal communication tools, Chatbots for employee services, Personalized learning and development journeys, Sentiment-aware employee engagement platforms, Building trust and transparency with AI communication tools.

Course Outcomes

Suggested Readings

Text Books

1. Artificial Intelligence for HR: Use AI to Support and Develop a Successful Workforce by Ben Eubanks, Publisher: Kogan Page
2. AI for HR: A Guide to Navigating the Future of Human Resources by Jeanne Meister and Kevin Mulcahy, Publisher: Wiley
3. Predictive HR Analytics: Mastering the HR Metric by Martin Edwards and Kirsten Edwards Publisher: Kogan Page
4. People Analytics in the Era of Big Data: Changing the Way You Attract, Acquire, Develop, and Retain Talent by Jean Paul Isson and Jesse Harriott, Publisher: Wiley
5. Digital HR Strategy: Achieving Sustainable Transformation in the Digital Age by Soumyasanto Sen, Publisher: Kogan Page Online Tools & Resources:
6. Harvard Business Review articles on AI and HR
7. SHRM (Society for Human Resource Management) Reports
8. MIT Sloan Management Review – AI & Workforce
9. Tool demos: HireVue, Eightfold AI, Pymetrics, Darwinbox