Artificial Intelligence in Practice: For HR Managers: A Practical Guide to AI for HR, Recruitment, Workforce Planning, Fairness, and Human Judgement
Language: English
Published by Independently published, 2026
- Softcover
- New

Seller: California Books, Miami, FL, U.S.A.California Books
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- Title
- Artificial Intelligence in Practice: For HR Managers: A Practical Guide to AI for HR, Recruitment, Workforce Planning, Fairness, and Human Judgement
- Author
- IBRAHIM, DR. MOHAMED-ALI
- Publisher
- Independently published
- Publication year
- 2026
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798191904733
A Safe, Practical, and Future-Ready Guide to Using AI for Recruitment, Workforce Planning, Employee Development, HR Operations, Performance Support, Data Privacy, Fairness, Human Judgement, and Professional Growth
Introduction / Book DescriptionArtificial intelligence is rapidly changing the way HR professionals recruit talent, communicate with employees, organise information, support learning, plan workforces, manage HR operations, and assist managers. But alongside these opportunities come serious responsibilities involving employee privacy, fairness, bias, confidentiality, transparency, and human accountability.
Artificial Intelligence in Practice: For HR Managers gives HR professionals a practical and responsible framework for using AI while keeping people at the centre of every important decision. Rather than encouraging unnecessary automation, the book shows readers how to distinguish between AI-assisted administrative work and sensitive employment decisions that require meaningful human judgement.
Readers receive practical examples, safer AI prompts, HR workflows, exercises, checklists, risk-review tools, quality-assurance guidance, case studies, an impact dashboard, and a six-week responsible AI practice plan.
Benefits of This Book- Understand how AI can be applied specifically within human resources and people management.
- Identify lower-risk AI tasks while recognising high-impact employment activities requiring stronger controls.
- Improve recruitment preparation, onboarding, employee communication, learning and development, workforce planning, and HR operations.
- Protect candidate and employee information through responsible data-minimisation practices.
- Recognise potential bias, poor criteria, proxy variables, unsupported assumptions, and automation bias.
- Use practical prompts, workflows, checklists, dashboards, exercises, and review tools.
- Evaluate AI based on accuracy, fairness, privacy, quality, human-review effort, employee value, and organisational benefit.
Unlike generic AI guides, this book is written specifically for professionals responsible for people.
It takes a practical rather than promotional approach, recognising that not every HR activity should be automated. Its framework keeps attention on evidence, employee privacy, fairness, organisational authority, professional judgement, and human responsibility.
The methods can also be adapted across small businesses, large corporations, public institutions, educational organisations, professional-service firms, non-profits, international employers, and HR consulting environments.
Who Is This Book For?This book is ideal for:
- HR Managers and HR Directors
- HR Business Partners
- Recruiters and Talent Acquisition Professionals
- Learning & Development Teams
- Talent Management Professionals
- HR Operations Teams
- People Managers
- Workforce Planning Professionals
- HR Consultants
- Trainers and HR Educators
- HR and Business Students
- Organisational Leaders responsible for people and workforce decisions
Bring AI into HR without removing the human responsibility behind people decisions.
Discover how to use artificial intelligence more confidently for recruitment, employee development, workforce planning, HR communication, performance support, and everyday HR operations—while protecting fairness, privacy, trust, and professional accountability.
Buy your copy today and start building a safer, smarter, and more human-centred approach to AI in HR.
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California Books
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