Artificial Intelligence in Human Resource Management

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”

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)

AI Impact: Driving Efficiency in HR 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

From Insight to Foresight: AI in Data Analysis 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

Changing the Way HR Communicates: AI and Personalization 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.