Algorithms

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A01=Tobias Matzner
AI
algorithmic decision making in society
Algorithmic Governmentality
Algorithmic Techniques
algorithms
AMT
Android Operating System
artificial intelligence
Author_Tobias Matzner
big data
Black Box
Category=JBCT
Category=JHBA
Category=QDTQ
Category=UBL
Category=UMB
Category=UYQ
Co-constitutive Relations
Complementary Abstraction
computational ethics
critical data studies
Culture
Data Doubles
Data Sets
digital epistemology
Discursive Practices
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
ethics
Hilbert's Program
human computer interaction
LDAP
Machine Learning
Mechanical Data Processing
Politics
Predictive Policing
Reflex Response
Self-driving Cars
sociotechnical systems
Subjectifying Force
surveillance studies
Task Algorithm
Technology
Training Algorithm
Training Data
Trolley Problem
Turing Machines
Van Der Vlist
Vice Versa

Product details

  • ISBN 9781032290614
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 02 Oct 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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.

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