Artificial intelligence in the capitalist university : academic labour, commodification, and value / John Preston.

Format:

Book

Author/Creator:

Preston, John, author.

Series:

Routledge Studies in Education, Neoliberalism, and Marxism

Language:

English

Subjects (All):

Artificial intelligence.

Physical Description:

1 online resource (iv, 173 pages)

Edition:

1st ed.

Place of Publication:

Taylor & Francis Group

New York, New York ; London : Routledge, [2022]

Summary:

Using Marxist critique, this book explores manifestations of Artificial Intelligence (AI) in Higher Education and demonstrates how it contributes to the functioning and existence of the capitalist university. Challenging the idea that AI is a break from previous capitalist technologies, the book offers nuanced examination of the impacts of AI on the control and regulation of academic work and labour, on digital learning and remote teaching, and on the value of learning and knowledge. Applying a Marxist perspective, Preston argues that commodity fetishism, surveillance, and increasing productivity ushered in by the growth of AI, further alienates and exploits academic labour and commodifies learning and research. The text puts forward a solid theoretical framework and methodology for thinking about AI to inform critical and revolutionary pedagogies.Offering an impactful and timely analysis, this book provides a critical engagement and application of key Marxist concepts in the study of AI's role in Higher Education. It will be of interest to those working or researching in Higher Education.

Contents:

Cover

Half Title

Series Page

Title Page

Copyright Page

Contents

Acknowledgements

1. Introduction

2. Capitalist Universities, AI, and Value

3. AI and the Subsumption of Academic Labour

4. The Pixarfication of Higher Education

5. Disaster Capitalism and Time in the Virtual University

6. AI, Existential Threat, and the Capitalist University

7. AI and the End of the Capitalist University

Index.

Notes:

CC BY-NC-ND

Description based on: online resource; title from PDF information screen (VLeBooks, viewed December 23, 2022).

ISBN:

9781003081654

1003081657

9781000471502

1000471500

OCLC:

1255523832

Publisher Number:

https://doi.org/10.4324/9781003081654

Access Restriction:

Open access Unrestricted online access