<p>“A ground-breaking book that fills a critical gap by providing a much-needed thorough analysis through a gender lens of perspectives on the potential impacts of automation and AI on the future of work. It enables us to imagine more inclusive and equitable scenarios that better equip us to forge a fairer digital future for all.” </p><p><b>Ursula Wynhoven</b>, <i>Director and Representative to the United Nations, International Telecommunication Union</i></p><p>“An important work that provides unique, timely, and exceptional insights into the digitalisation of gender. Through rigorous research, Elisabeth Kelan illuminates the gendered values, decisions, and biases that shape digitalisation, automation, and artificial intelligence systems, and why they must be grounded in equity and inclusion.” </p><p><b>Melissa Suzanne Fisher</b>, <em>New York University</em> <i>Institute for Public Knowledge and School of Professional Studies</i></p>

It is widely presumed that digitalisation, automation and artificial intelligence (AI) shape the future of work; yet, gender is rarely considered in those debates. This ground-breaking book, written by a leading thinker on gender, inclusion and organisations, is based on in-depth research to show which patterns of gender and digitalisation emerge. By weaving these different patterns together, is it possible to understand the dynamic and complex ways gender and digitalisation intertwine in the work context?The book highlights how futures of work are imagined between automation and augmentation: it shows which tasks are expected to be done by machines, and where humans are expected to have a competitive advantage. The book showcases how algorithmic bias is constructed as ultimately fixable, and analyses in/visibilities in AI production processes. Above all, the book shows how patterns relating to gender and inclusion are shaped and could be re-shaped.This innovative book provides a stimulating and provocative read for those who are interested in how automation and AI shape the future of work in regard to gender and what this means for inclusion.
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This pathbreaking book, written by leading thinker in gender and organisations, Elisabeth Kelan, raises awareness of certain forms of gender binarity and inequality that are reinforced through digitalisation, so that organisations can understand more deeply the key issues involved, and how to promote more gender equitable workplaces.
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1. Introduction: Human-Like 2. Imaging Futures between Automation and Augmentation 3. Uniquely Human and the Automatability of Socio-Emotional Skills 4. Algorithmic Bias as Ultimately Fixable 5. In/Visibility by Design 6. Conclusion: Unwritten Rules
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“A ground-breaking book that fills a critical gap by providing a much-needed thorough analysis through a gender lens of perspectives on the potential impacts of automation and AI on the future of work. It enables us to imagine more inclusive and equitable scenarios that better equip us to forge a fairer digital future for all.” Ursula Wynhoven, Director and Representative to the United Nations, International Telecommunication Union“An important work that provides unique, timely, and exceptional insights into the digitalisation of gender. Through rigorous research, Elisabeth Kelan illuminates the gendered values, decisions, and biases that shape digitalisation, automation, and artificial intelligence systems, and why they must be grounded in equity and inclusion.” Melissa Suzanne Fisher, New York University Institute for Public Knowledge and School of Professional Studies
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Produktdetaljer

ISBN
9781032669892
Publisert
2024-08-29
Utgiver
Vendor
Routledge
Vekt
340 gr
Høyde
234 mm
Bredde
156 mm
Aldersnivå
U, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
170

Forfatter

Biographical note

Elisabeth Kelan is Professor of Leadership and Organisation at Essex Business School, University of Essex, United Kingdom. Kelan is an expert on gender and digitalisation, women’s leadership, men as change agents for gender equality, generations at work, and diversity and inclusion.