Del 12 i serien International Perspectives on Equality, Diversity and Inclusion

AI and Diversity in a Datafied World of Work

Will the Future of Work be Inclusive?

Inbunden, Engelska, 2025

AvJoana Vassilopoulou,Joana Vassilopoulou,Olivia Kyriakidou

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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.

Produktinformation

Utgivningsdatum2025-04-24
Mått152 x 229 x 20 mm
Vikt488 g
FormatInbunden
SpråkEngelska
SerieInternational Perspectives on Equality, Diversity and Inclusion
Antal sidor288
FörlagEmerald Publishing Limited
ISBN9781837972975

Tillhör följande kategorier

Affärsetik inom Ekonomi och Ledarskap
Organisationsteori inom Ekonomi och Ledarskap
Artificiell intelligens inom Data och IT
Projektledning inom Ekonomi och Ledarskap

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).

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. ÖzbilginChapter 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 ZanoniChapter 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