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OverviewThe information revolution has ushered in a data-driven reorganization of the workplace. Big data and AI are used to surveil workers and shift risk. Workplace wellness programs appraise our health. Personality job tests calibrate our mental state. The monitoring of social media and surveillance of the workplace measure our social behavior. With rich historical sources and contemporary examples, The Quantified Worker explores how the workforce science of today goes far beyond increasing efficiency and threatens to erase individual personhood. With exhaustive detail, Ifeoma Ajunwa shows how different forms of worker quantification are enabled, facilitated, and driven by technological advances. Timely and eye-opening, The Quantified Worker advocates for changes in the law that will mitigate the ill effects of the modern workplace. Full Product DetailsAuthor: Ifeoma AjunwaPublisher: Cambridge University Press Imprint: Cambridge University Press Dimensions: Width: 15.90cm , Height: 3.00cm , Length: 23.60cm Weight: 0.840kg ISBN: 9781107186033ISBN 10: 110718603 Pages: 250 Publication Date: 11 May 2023 Audience: College/higher education , Tertiary & Higher Education Format: Hardback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsPart I. The Ideology of Worker Quantification: 1. The Rise of Scientific Management; 2. Socio-Legal Responses to Scientific Management; Part II. The Mechanical Managers: 3. Automated Hiring and Discrimination; 4. Personality Job Tests; 5. Automated Video Interviews; 6. The Unbounded Workplace and Worker Surveillance; 7. Workplace Wellness Programs; 8. Telecommuting and Health Surveillance in the Covid-19 Era; Part III. Quantified Discrimination: 9. Wearable Tech: The Quantified Self at Work; 10. Quantified Racism; Part IV. Business Ethics and New Legal Frameworks: 11. The Ethical Dimensions of Worker Quantification; 12. Regulating Mechanical Managers; Conclusion: Imagining a Better Future for Workers.Reviews'Work is a meaningful part of our lives, in time and in quality. Yet, as Ifeoma Ajunwa's new book masterfully shows, our work lives are under almost totalizing surveillance, for the benefit of employers. With clarity and care, Dr. Ajunwa shows us the extent to which employers have insinuated into every second of our days. Her book teaches us what we risk in the face of worker quantification and offers a bold and morally rich plan for tackling it, for the good of all of us.' Danielle Keats Citron, 2019 MacArthur Fellow, author of The Fight for Privacy 'Scientific management is not new, but as Dr. Ajunwa eloquently and definitively argues, the technologically-mediated quantification of the American worker poses novel and consequential challenges for labor, equity, and democracy itself. The Quantified Worker is a meticulous and passionate call to action, an urgent plea for a robust response from our legal system.' Virginia Eubanks, author of Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor 'Ajunwa's treatment of worker's rights - and lack thereof - in the context of corporate surveillance is critical, timely, and profound. It will be an invaluable resource to lawyers trying to understand the comprehensive reach of workplace monitoring and measuring, to data scientists trying to understand the relevant law in their fields, and to anyone else who wants to interrogate the AI marketing hype.' Cathy O'Neil, author of Weapons of Math Destruction 'The surveillance and quantification of workers is a critical issue of our time. This much-needed book details how these technologies erode labor rights and encode discrimination, and it's powerful evidence for why we need worker coalitions and strong legal protections.' Kate Crawford, USC Annenberg, author of Atlas of AI Author InformationIfeoma Ajunwa is a 2021-2022 Fulbright Scholar, an award-winning tenured law professor at the University of North Carolina School of Law, and adjunct professor at the Kenan-Flagler Business School. She is the Founding Director of the Artificial Intelligence Decision-Making Research Program and a Faculty Associate at the Berkman Klein Centre at Harvard University. Tab Content 6Author Website:Countries AvailableAll regions |
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