Artificial intelligence for HR
use AI to support and develop a successful workforce
- ISBN: 9781398622746
- Editorial: Kogan Page Ltd.
- Fecha de la edición: 2025
- Lugar de la edición: London. Reino Unido
- Edición número: 3rd ed.
- Encuadernación: Rústica
- Medidas: 24 cm
- Nº Pág.: 280
- Idiomas: Inglés
Is your HR strategy ready to harness the full potential of artificial intelligence (AI)?
Artificial Intelligence for HR by Ben Eubanks is a strategic guide for senior HR leaders and executives who want to integrate AI into the people function to drive efficiency, engagement and measurable business results.
Now in its third edition, this book explains the evolving AI landscape, from natural language processing that eliminates bias in job adverts to chatbots that enhance the employee experience. It includes new coverage on generative AI and its global implications, giving leaders the insight to implement AI ethically and effectively across the employee lifecycle.
You'll discover how to:
- Use AI to improve recruitment, engagement and workforce productivity
- Apply generative AI to enhance decision-making and innovation
- Implement AI solutions that align with governance and compliance standards
- Translate AI opportunities into operational efficiencies and business impact
Featuring practical guidance, research and examples from Uber, IBM and Unilever, Artificial Intelligence for HR equips senior decision-makers to deploy AI strategically, ensuring people and technology work together to deliver sustained competitive advantage.
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
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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
