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.
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.
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Dr. Ketan Sanjay Desale is a researcher, academician, and technology leader in computer science, with expertise in artificial intelligence, machine learning, and concept drift detection. He holds a Ph.D. in Computer Engineering and has developed a strong academic profile through sustained research contributions and engagement with applied technological innovation.
He currently serves as a Dean IQAC & Associate Professor at ASM’s NextGen Technical Campus, Pune, India, where he is involved in teaching, research supervision, and curriculum development. In addition to his academic role, Dr. Desale is responsible for leading digital transformation initiatives at the ASM Group level, focusing on the strategic use of digital technologies to improve institutional processes, information systems, and data-driven decision-making.
Dr. Desale has authored and co-authored numerous research articles published in reputable international journals, including Scopus-indexed publications, and regularly presents his work at national and international conferences. His research contributions span both theoretical and practical dimensions of intelligent systems, reflecting a strong commitment to advancing contemporary computing research.
He actively shares his scholarly work through global research platforms such as Google Scholar, Scopus, and Web of Science, contributing to the broader international scientific community.
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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Paperback. Condition: new. Paperback. 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 AIs applications across recruitment, onboarding, L&D, engagement, and retentionProvides strategic frameworks for integrating AI into HR ecosystemsIncludes case studies and practical deployment examples from real organizationsAddresses key issues of AI bias, explainability, data privacy and complianceOffers guidance on selecting and evaluating HR-specific AI toolsExplains core AI concepts for both technical and non-technical HR professionalsIncludes future-focused insights into AI-driven workforce planning and employee experience designThis 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. A strategic and practical guide to applying generative AI across HR functionsfrom recruitment to retentionbalancing automation with ethics, compliance, and human impact. This book is for HR professionals, business leaders, AI developers, and strategists seeking to understand and implement generative AI solutions in the HR domain. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781041141846
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Paperback. Condition: New. 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, LandD, engagement, and retentionProvides strategic frameworks for integrating AI into HR ecosystemsIncludes case studies and practical deployment examples from real organizationsAddresses key issues of AI bias, explainability, data privacy and complianceOffers guidance on selecting and evaluating HR-specific AI toolsExplains core AI concepts for both technical and non-technical HR professionalsIncludes future-focused insights into AI-driven workforce planning and employee experience designThis 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. Seller Inventory # LU-9781041141846
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