Artificial Intelligence for HR: Use AI to Support and Develop a Successful Workforce

Description

Artificial intelligence is changing the world of work. How can HR professionals understand the variety of opportunities AI has created for the HR function and how best to implement these in their organization? This book provides the answers. From using natural language processing to ensure job adverts are free from bias and gendered language to implementing chatbots to enhance the employee experience, artificial intelligence can add value throughout the work of HR professionals. Artificial Intelligence for HR demonstrates how to leverage this potential and use AI to improve efficiency and develop a talented and productive workforce. Outlining the current technology landscape as well as the latest AI developments, this book ensures that HR professionals fully understand what AI is and what it means for HR in practice. Alongside coverage of employee engagement and recruitment, this second edition features new material on applications of AI for virtual work, reskilling and data integrity. Packed with practical advice, research and new and updated case studies from global organizations including Uber, IBM and Unilever, the second edition of Artificial Intelligence for HR will equip HR professionals with the knowledge they need to improve people operational efficiencies, and allow AI solutions to become enhancements for driving business success. Cover Contents List of figures and tables About the author Foreword by Trish McFarlane Preface Acknowledgements 01 A snapshot of HR today The age of disruption Researching and understanding HR today The power of the employee experience The new normal: Doing more with less Using this book Key points Notes 02 The basics of artificial intelligence A layperson’s guide to predictive HR analytics Artificial intelligence components AI on a global scale Key points Notes 03 General AI applications within HCM AI solves administrative HR problems What about the impact on jobs? Types of broad-spectrum AI components in HCM Key points Notes 04 Core HR and workforce management Core HR is core to the business Workforce management Payroll Benefits administration Employee self-service Diversity and harassment Key points Notes 05 Talent acquisition Sourcing tools and technologies Candidate matching Assessments The role of data in recruiting Recruiting applications for natural language processing Chatbots as a communication mechanism Chatbot metrics to consider Key points Notes 06 Learning and development Closing the skills gap Formal learning applications for AI Learning content and curation Informal learning applications for AI Coaching and mentoring Performance support Looking forward: Virtual, augmented and mixed reality technologies Key points Notes 07 Talent management Replacing humans with algorithms: Hard lessons learned The critical role of managers in talent management Employee engagement Performance management and enablement The gig economy and team development Internal talent mobility and career pathing Key points Notes 08 Challenges of adopting AI technology Biased systems Technological complacency Algorithm aversion Data privacy and AI System integration is lacking Despite the challenges… Key points Notes 09 HR skills of the future The spectrum of augmenting humans with AI The importance of soft skills A final question Key points Notes Afterword Index