AI and Diversity in a Datafied World of Work
Will the Future of Work be Inclusive?
- 316 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
AI and Diversity in a Datafied World of Work
Will the Future of Work be Inclusive?
About this book
Artificial intelligence (AI) is rapidly transforming the world of work, but how does it impact diversity, equity, and inclusion (DEI)? AI and Diversity in a Datafied World of Work: Will the Future of Work be Inclusive? addresses the critical question of whether AI will create more inclusive workplaces or exacerbate existing inequalities. As AI systems become embedded in business practices, this work explores the potential for both harm and opportunity in how AI influences DEI efforts.
This collected edition delves into key areas such as AI's role in HR management, its impact on marginalised communities, and the risks of bias in algorithmic decision-making. Topics like job displacement, the inclusion of vulnerable workers, and the ethical challenges of AI in management are thoroughly explored, offering interdisciplinary insights from diverse academic perspectives and global contexts. The authors also present strategies to design AI systems that promote inclusion and fairness.
Designed for scholars, practitioners, and anyone interested in the intersection of technology and DEI, this work offers a rich examination of the challenges and opportunities AI presents for the future of work. Bridging theory with practice provides readers with the tools to navigate and shape the evolving landscape of AI in ways that foster inclusivity.
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Table of contents
- Cover
- Title
- Chapter 1. Introduction: AI and Diversity in a Datafied World of Work – Will the Future of Work be Inclusive?
- Chapter 2. Artificial Intelligence and Bias Towards Marginalised Groups: Theoretical Roots and Challenges
- Chapter 3. Exploring Bias in Artificial Intelligence in Digital Transformation and the Datafied Future of Work
- Chapter 4. Is AI Coming for Our Jobs? Rethinking the Future of Work and Inclusion
- Chapter 5. Changing the Activation of At-Risk Jobseekers: Algorithmically Redefining Categories of Vulnerability
- Chapter 6. THE USE OF AI IN HRM AND MANAGEMENT PROCESSES: THE PROMISE OF DIVERSITY, EQUITY, AND INCLUSION
- Chapter 7. Understanding Employee Experiences of Artificial Intelligence in Human Resource and People Management
- Chapter 8. Artificial Intelligence, Disability, Employment Exclusion, and Human Rights
- Chapter 9. International Migration Management, Employment and Health Integration of Migrants and Refugees in the Artificial Intelligence ERA
- Chapter 10. Leveraging AI for Inclusive Trade Union Transformation
- Chapter 11. AI and The Future of Work: Bridging Divides for Marginalised Workers
- Chapter 12. How Speciesist is AI? Discussing AI, Speciesism, and Vegaphobia with ChatGPT: Implications for Inclusive Workplaces
- Chapter 13. Developing Artificial Intelligence (AI) with Equality, Diversity, and Inclusion (EDI): Towards Interdisciplinary Co-Design with Scholars and Practitioners of EDI and AI