AI and Diversity in a Datafied World of Work
Will the Future of Work be Inclusive?
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- Description
- Contents
- About
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.
Chapter 1. Introduction: AI and Diversity in a Datafied World of Work: Will the Future of Work be Inclusive?; Joana Vassilopoulou and Olivia Kyriakidou
- Chapter 2. Artificial Intelligence and Bias Towards Marginalized Groups: Theoretical Roots and Challenges; Aybike Mergen, Nergiz Cetin-Kilic, and Mustafa F. Özbilgin
- Chapter 3. Exploring Bias in Artificial Intelligence in Digital Transformation and the Datafied Future of Work; Emily Yarrow
- Chapter 4. Is AI Coming for our Jobs? Rethinking the Future of Work and Inclusion; Lefteris Kretsos
- Chapter 5. Changing the Activation of At-Risk Jobseekers: Algorithmically Redefining Categories of Vulnerability; Jannes Zwaenepoel and Patrizia Zanoni
- Chapter 6. The Use of AI in HRM and Management Processes: The Promise of Diversity, Equity and Inclusion; Kurt April and Preeya Daya
- Chapter 7. Understanding Employee Experiences of Artificial Intelligence in Human Resource and People Management; Olivia Kyriakidou and George Varvatsoulis
- Chapter 8. Artificial Intelligence, Disability, Employment Exclusion, and Human Rights; Tally Hatzakis
- Chapter 9. International Migration Management, Employment and Health Integration of Migrants and Refugees in the Artificial Intelligence Era; Theodoros Fouskas
- Chapter 10. Leveraging AI for Inclusive Trade Union Transformation; Lefteris Kretsos
- Chapter 11. AI and the Future of Work: Bridging Divides for Marginalized Workers; Olivia Kyriakidou, Bessie Goumas, Maria Manteli, and Evi Tasoula
- Chapter 12. How Speciesist is AI? Discussing AI, Speciesism and Vegaphobia with ChatGPT Implications for Inclusive Workplaces; Doris Schneeberger and Laura Traavik
- Chapter 13. Developing Artificial Intelligence (AI) with Equality, Diversity, and Inclusion (EDI): Towards Interdisciplinary Co-Design with Scholars and Practitioners of EDI and AI; Mustafa F. Özbilgin, Cihat Erbil, and Nur Gündoğdu
Joana Vassilopoulou is a Professor in Equality, Diversity & Inclusion and the Head of the Organisations and People Department at Brunel Business School, Brunel University of London, UK. Joana is a Co-Founder of the Centre for Inclusion at Work (CEFI).
Olivia Kyriakidou is an Assistant Professor in Psychology and the Co-ordinator of the MS in Organizational Psychology at the American College of Greece. Olivia is a Co-Founder of the Centre for Inclusion at Work (CEFI).