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AI-Empowered Industrial Relations / by Soumi Majumder, Bitan Misra.
- Format:
- Book
- Author/Creator:
- Majumder, Soumi.
- Series:
- Studies in Computational Intelligence, 1860-9503 ; 1254
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Business--Data processing.
- Business.
- Industrial management.
- Social legislation.
- Artificial Intelligence.
- Business Informatics.
- Industrial Management.
- Labour Law/Social Law.
- Local Subjects:
- Artificial Intelligence.
- Business Informatics.
- Industrial Management.
- Labour Law/Social Law.
- Physical Description:
- 1 online resource (234 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
- Summary:
- This book examines how artificial intelligence (AI) will impact labour negotiations, the future of employment, and the larger dynamics of industrial relations. It also discusses how AI has become a revolutionary force in many societal and economic areas in the quickly changing twenty-first century. The book covers topics, such as, introduction to AI driven industrial relations, importance and benefits of incorporating AI in industrial relations, AI and its applications in different industries, harnessing the power of industrial AI for optimizing operations and productivity, impact of AI on work and workers, rise of new jobs and skills, algorithmic management and employee monitoring, future of work: human-AI collaboration, and real-world examples of organizations implementing AI in industrial relations.
- Contents:
- Chapter 1. Introduction to AI-driven Industrial Relations
- Chapter 2. The merging of Fourth Industrial Revolution and Fifth Industrial Revolution
- Chapter 3. The Impact of AI on Work and Workers
- Chapter 4. AI in collective bargaining and dispute resolution
- Chapter 5. Legal and Ethical Considerations in AI-driven IR
- Chapter 6. Future Trends and Opportunities in AI driven Industrial Relations
- Chapter 7. Case Studies and Success Stories
- Chapter 8. Conclusions.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 3-032-14557-0
- 9783032145574
- OCLC:
- 1568732282
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