My Account Log in

4 options

Augmented exploitation : artificial intelligence, automation and work / Edited by Phoebe Moore and Jamie Woodcock.

EBSCOhost Academic eBook Collection (North America) Available online

View online

EBSCOhost Ebook Business Collection Available online

View online

EBSCOhost eBook Community College Collection Available online

View online

Ebook Central Academic Complete Available online

View online
Format:
Book
Contributor:
Woodcock, Jamie, editor.
Moore, Phoebe V., editor.
Language:
English
Subjects (All):
Management information systems.
Decision making--Data processing.
Decision making.
Artificial intelligence.
Physical Description:
1 online resource (193 pages) : illustrations
Place of Publication:
London, England : Pluto Press, [2021]
Summary:
Artificial intelligence should be changing society, not reinforcing capitalist notions of work.
Contents:
AI trainers: who is the smart worker today? / Phoebe V. Moore
Work now, profit later: AI between capital, labour, and regulation / Toni Prug and Paško Bilić
Delivering food on bikes: between machinic subordination and autonomy in the algorithmic workplace / Benjamin Herr
Putting the habitus to work: digital presumption, surveillance, and distinction / Eduard Müller
The power of prediction: people analytics at work / Uwe Vormbusch and Peter Kels
Manufacturing consent in the gig economy / Luca Perrig
Automated and autonomous?: technologies mediating the exertion and perception of labour control / Beatriz Casas ́González
Can robots produce customer confidence?: contradictions among automation, new mechanisms of control, and resistances in the banking labour process / Giorgio Boccardo
It gets better with age: AI and the labour process in old and new gig-economy firms / Adam Badger
Self-tracking and sousveillance at work: insights from human-computer interaction and social science / Marta E. Cecchinato, Sandy J. J. Gould, and Frederick Harry Pitts
Breaking digital atomisation: resistant cultures of solidarity in platform-based courier work / Heiner Heiland and Simon Schaupp
Resisting the algorithmic boss: guessing, gaming, reframing, and contesting rules in app-based management / Joanna Bronowicka and Mirela Ivanova.
Notes:
Description based on print version record.
Includes index.
ISBN:
9780745343518
0745343511
9780745343532
0745343538

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account