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.
Conditions of Use
This book is licensed under a Creative Commons License (CC BY). You can download the ebook Patterns of Inclusion for free.
- Title
- Patterns of Inclusion
- Subtitle
- How Gender Matters for Automation, Artificial Intelligence and the Future of Work
- Publisher
- Routledge
- Author(s)
- Elisabeth Kelan
- Published
- 2024-08-22
- Edition
- 1
- Format
- eBook (pdf, epub, mobi)
- Pages
- 170
- Language
- English
- ISBN-10
- 1032669896
- ISBN-13
- 9781003427100
- License
- CC BY
- Book Homepage
- Free eBook, Errata, Code, Solutions, etc.
Cover Half Title Endorsement Title Page Copyright Page Dedication Table of Contents Preface Acknowledgements 1 Introduction: Human-Like Introduction Imagining Futures of Work and Human-Like Intelligence The Magic of Human-Like Technology Gender and Technology as Mutually Constitutive Research Patterns Structure of the Book Conclusion Notes 2 Imaging Futures Between Automation and Augmentation Introduction Visions of the Future of Work This Time It Is Different Man-versus-Machine Men’s Jobs Disappearing Professions Socio-Emotional Skills as Human Advantage Creating the Human–Machine Interface Gendered By Design Algorithmic Bias Conclusion 3 Uniquely Human and the Automatability of Socio-Emotional Skills Introduction Drudgework as Repeatable Patterns Shifting Tasks and Structures The Human Advantage The Gendering of Socio-Emotional Skills Care as Automatable Machines and Socio-Emotional Skills Machines Training and Assessing Socio-Emotional Skills Hands as Liminal in VR Perspective Taking Socio-Emotional Skills as Patterns Conclusion Notes 4 Algorithmic Bias as Ultimately Fixable Introduction Hiring the Candidates That Best Meet the Profile Algorithmic Bias in Hiring Techno-Optimism Or Constructing Algorithmic Bias as Fixable Humans as Making AI Biased Fixing the Data and the Rater Fixing the Algorithm Machines Do Not Make Hiring Decisions, Humans Do Reputational Risks Conclusion Note 5 In/Visibility By Design Introduction AI’s Hidden Workforce The Need for Data Annotation Classifying the World Helping AI to Understand the World How Subjective Decisions Become Objective Chains of Knowing About the World Constructing Gender Conclusion Notes 6 Conclusion: Unwritten Rules Introduction Predicting Futures and Imagining Alternative Futures Patterns of Inclusion and Exclusion From Magic to Making Rules Visible Reification Machines Politics of Visibilities Accountability and Responsibility Situating the Research and Future Research Avenues Conclusion Notes Appendix Data Collection in Times of a Pandemic and Beyond References Index
