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 laypersonβs 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 challengesβ¦
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