A Practical Guide to Integrating Generative AI into HR Management
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A Practical Guide to Integrating Generative AI into HR Management: (Knowledge-based Engineering for Innovation)

A Practical Guide to Integrating Generative AI into HR Management: (Knowledge-based Engineering for Innovation)


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About the Book

This book is a practical guide to the integration of generative AI into human resources, covering use cases across recruitment, onboarding, training, and retention. It offers strategic guidance, ethical frameworks, and technical insights to help organisations deploy generative AI effectively while safeguarding fairness, privacy, and compliance. It covers AI-driven applications in talent acquisition, onboarding, employee engagement, career development, and decision-making, while addressing key concerns such as algorithmic bias, data privacy, and regulatory compliance. With practical case studies and deployment templates, the book provides a structured approach to evaluating and integrating generative AI tools within HR systems. From resume screening to personalised learning paths and predictive analytics, this book bridges the gap between AI technologies and HR operations to help organisations build agile, ethical, and employee-centric workplaces.

• Examines generative AI’s applications across recruitment, onboarding, L&D, engagement, and retention

• Provides strategic frameworks for integrating AI into HR ecosystems

• Includes case studies and practical deployment examples from real organizations

• Addresses key issues of AI bias, explainability, data privacy, and compliance

• Offers guidance on selecting and evaluating HR-specific AI tools

• Explains core AI concepts for both technical and non-technical HR professionals

• Includes future-focused insights into AI-driven workforce planning and employee experience design

This book is for HR professionals, business leaders, AI developers, and organizational strategists seeking to understand, implement, and manage generative AI solutions in the HR domain.



Table of Contents:

1. Role of Generative AI in HR. 2. GenAI Transforming HR. 3. Efficient Onboarding and Training to Facilitate Employee Success. 4. Maximising Employee Engagement and Retention. 5. Implementing Generative AI in HR Operations. 6. Navigating Ethical and Legal Frontiers: Privacy, Bias, and Compliance. 7. Future Trends and Strategic Insights. 8. Conclusions



About the Author :

Ketan Sanjay Desale is a prominent academic and researcher in computer science, specializing in artificial intelligence, machine learning, and concept drift detection. With a Ph.D. in Computer Engineering, he has made significant contributions through impactful research and innovative teaching. Currently, he serves as an Assistant Professor in the Department of Computer Engineering at Pimpri Chinchwad College of Engineering (PCCOE), Pune, India. His work is widely recognized, with numerous publications in reputed, Scopus-indexed international journals and regular presentations at national and global conferences.

Beyond teaching and research, Desale plays key administrative roles at Pimpri Chinchwad Education Trust (PCET) and PCCOE, where he serves as Digital Marketing Head and Associate Dean of Management Information Systems (MIS). In these capacities, he applies his technical expertise to enhance digital engagement and optimize data-driven management systems, promoting innovation and operational efficiency across the institution.

Desale’s influence extends beyond academia through his active online presence. His research contributions are featured on platforms such as Google Scholar, Scopus, and Web of Science. More information about his professional work and achievements can be found on his personal website and LinkedIn profile.

Soumi Majumder is a Research Scholar in the Department of Business and Management at Lincoln University College, Malaysia, and an Assistant Professor at the Future Business School, Future Institute of Engineering and Management, Kolkata, India. She has over 10 years of academic and 2 years of industry experience and has previously served at institutions such as Sister Nivedita University, Techno India College of Technology, and NSHM College of Management and Technology. She has authored five books, including titles published by Springer Nature, Taylor & Francis, and Emerald, along with two edited volumes. Her research focuses on quality of work life, stress management, employee engagement, leadership, and entrepreneurship, with over 25 papers in reputed national and international journals and conferences. She holds one patent and four copyrights from the Government of India and serves as a reviewer for journals by Elsevier, Springer, Emerald, and Sage.


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Product Details
  • ISBN-13: 9781041145356
  • Publisher: Taylor & Francis Ltd
  • Publisher Imprint: CRC Press
  • Height: 234 mm
  • No of Pages: 160
  • Width: 156 mm
  • ISBN-10: 1041145357
  • Publisher Date: 23 Jun 2026
  • Binding: Hardback
  • Language: English
  • Series Title: Knowledge-based Engineering for Innovation


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