AI and Diversity in a Datafied World of Work

AI and Diversity in a Datafied World of Work

Will the Future of Work be Inclusive?

Vassilopoulou, Joana; Kyriakidou, Olivia

Emerald Publishing Limited

04/2025

316

Dura

9781837972975

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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. OEzbilgin

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. OEzbilgin, Cihat Erbil, and Nur Guendogdu
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Equality; Inclusion; Artificial Intelligence; Job Replacement; Precarity; Gender; Automation; Human Resource Management; Bias; Ethics