The Artificial Intelligence In Human Resources Playbook

The AI in HR Playbook with Villanova University Professor of Human Resources, Jeffrey Giacoponello.

What you'll learn

Understand the Fundamentals of AI in HR

Explore AI-Driven Recruitment and Talent Acquisition

Leverage Predictive Analytics for Strategic HR Decisions

Enhance Employee Wellness and Retention with AI

Transform Performance Management Through AI

Improve Employee Engagement Using Sentiment Analysis

Develop a Future-Ready Workforce with AI-Powered Skill Assessment

Navigate Ethical Considerations in AI Implementation

Integrate AI into Existing HR Systems and Workflows

Forecast the Future Impact of AI on HR

Requirements

Familiarity with HR Functions

Comfort with Technology

Interest in Innovation in HR

Description

AI has become a game-changer in HR by automating repetitive tasks, enhancing decision-making, and improving employee engagement. This course explores the profound impact of artificial intelligence (AI) on modern HR practices. It delves into how AI is transforming recruitment, employee engagement, performance management, and workforce development by automating processes, enhancing decision-making, and improving efficiency. Students will learn how AI-driven tools streamline hiring through automated resume screening, candidate sourcing, and predictive analytics, helping organizations make more data-driven talent decisions. The paper also discusses AI’s role in employee wellness, using sentiment analysis and behavioral data to detect burnout risks, enhance retention strategies, and create personalized career development paths. AI-powered performance management tools ensure real-time feedback, unbiased evaluations, and continuous learning opportunities, enabling employees to grow while aligning with business goals. Additionally, the course highlights the importance of predictive analytics in workforce planning, allowing HR teams to anticipate turnover risks and optimize succession planning. Ethical considerations such as AI bias, data privacy, and transparency are also addressed, ensuring responsible AI implementation. By the end of the playbook, students will have a deep understanding of AI’s potential to reshape HR, making it more strategic, personalized, and efficient, ultimately driving business success and employee satisfaction.

Overview

Section 1: Introduction to AI in HR Talent Management

Lecture 1 Introduction

Lecture 2 Definitions and Mechanisms

Lecture 3 Evolution of AI

Lecture 4 Significance of AI in HR

Section 2: AI-Driven Recruitment and Talent Acquisition

Lecture 5 Basics of AI-driven Recruitment

Lecture 6 Key Metrics

Lecture 7 Screening and Sourcing Candidates

Lecture 8 Personalized Recruitment Content

Lecture 9 AI Tools Transforming Recruitment

Lecture 10 Best Practices for Implementing AI in Recruitment

Section 3: Predictive Analytics and Decision-Making

Lecture 11 Understanding Predictive Analytics

Lecture 12 Applications of Predictive Analytics

Lecture 13 Stages of Predictive Analytics

Lecture 14 Predictive Analytics Challenges and Solutions

Lecture 15 Real-World Example: IBM Watson Talent Insights

Lecture 16 Best Practices for Implementing Predictive Analytics

Lecture 17 The Future of Predictive Analytics in HR

Section 4: AI for Employee Wellness and Retention

Lecture 18 AI-Driven Wellness Programs

Lecture 19 The Role of AI in Employee Wellness

Lecture 20 Boosting Retention with AI

Lecture 21 AI-Driven Wellness Programs in Action

Lecture 22 Ethical Considerations in Wellness Initiatives

Lecture 23 Case Study: BrightPlan’s Wellness Strategy

Lecture 24 Best Practices for Implementing AI in Wellness and Retention

Lecture 25 The Future of Wellness and Retention with AI

Lecture 26 Building a Thriving Workforce with AI

Section 5: AI in Performance Management

Lecture 27 Transforming Performance Management with AI

Lecture 28 The Role of AI in Modern Performance Management

Lecture 29 Key Applications of AI in Performance Management

Lecture 30 Case Study: Salesforce’s AI-Powered Continuous Feedback

Lecture 31 Benefits of AI in Performance Management

Lecture 32 Challenges and Considerations

Lecture 33 Best Practices for Implementing AI in Performance Management

Lecture 34 Elevating Performance with AI

Section 6: Employee Engagement and Sentiment Analysis

Lecture 35 Employee Engagement

Lecture 36 Sentiment Analysis

Lecture 37 Applications of AI in Employee Engagement

Lecture 38 Tools for Engagement and Sentiment Analysis

Lecture 39 Case Study Deep Dive: Lincoln Financial Group’s Engagement Transformation

Lecture 40 Challenges and Considerations

Lecture 41 Best Practices for Implementing AI in Engagement

Lecture 42 The Future of Sentiment Analysis in Engagement

Section 7: AI-Powered Skill Assessment and Development

Lecture 43 AI-Powered Skill Assessment and Development

Lecture 44 The Role of AI in Skill Assessment

Lecture 45 AI-Driven Skill Development

Lecture 46 Applications of AI in Skill Assessment and Development

Lecture 47 Tools Revolutionizing Skill Development

Lecture 48 Case Study Deep Dive: Walmart’s Upskilling Initiative with AI

Lecture 49 Benefits of AI-Powered Development

Lecture 50 Challenges and Solutions

Lecture 51 Best Practices for Implementing AI in Development

Lecture 52 The Future of Skill Development with AI

Section 8: Navigating the Future of AI in HR

Lecture 53 Navigating the Future of AI in HR

Lecture 54 Key Trends Shaping the Future of AI in HR

Lecture 55 Challenges in Adopting AI in HR

Lecture 56 The Ethical Imperative in AI-Driven HR

Lecture 57 Preparing HR Teams for AI Integration

Lecture 58 Emerging Trends to Watch

Lecture 59 Case Study: Deloitte’s Ethical AI Framework

Lecture 60 Reflection: The Path Forward

HR Professionals and Practitioners,HR Leaders and Decision-Makers,Learning and Development Professionals,Business Leaders Interested in Talent Strategies,Technology and Data Professionals in HR,Consultants and Advisors in HR