Algorithms

Regular price €49.99
A01=Tobias Matzner
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AI
Algorithmic Governmentality
Algorithmic Techniques
algorithms
AMT
Android Operating System
artificial intelligence
Author_Tobias Matzner
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big data
Black Box
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Category=UBL
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Co-constitutive Relations
Complementary Abstraction
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Culture
Data Doubles
Data Sets
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Discursive Practices
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ethics
Hilbert's Program
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Machine Learning
Mechanical Data Processing
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Politics
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Reflex Response
Self-driving Cars
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Task Algorithm
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Product details

  • ISBN 9781032290591
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 02 Oct 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
  • Language: English
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Algorithms: Technology, Culture, Politics develops a relational, situated approach to algorithms. It takes a middle ground between theories that give the algorithm a singular and stable meaning in using it as a central analytic category for contemporary society and theories that dissolve the term into the details of empirical studies.

The book discusses algorithms in relation to hardware and material conditions, code, data, and subjects such as users, programmers, but also “data doubles”. The individual chapters bridge critical discussions on bias, exclusion, or responsibility with the necessary detail on the contemporary state of information technology. The examples include state-of-the-art applications of machine learning, such as self-driving cars, and large language models such as GPT.

The book will be of interest for everyone engaging critically with algorithms, particularly in the social sciences, media studies, STS, political theory, or philosophy. With its broad scope it can serve as a high-level introduction that picks up and builds on more than two decades of critical research on algorithms.

Tobias Matzner is a professor for Digital Cultures and Digital Humanities at Paderborn University, Germany. His research focuses on the intersections of technology, culture, and politics, with a particular focus on algorithms and machine learning.