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 addresses the critical question of whether AI will create more inclusive workplaces or exacerbate existing inequalities.
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
Gündodu
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).
