CARE AND SCALE Decorrelative Ethics in Algorithmic Recommendation

The people who make algorithmic recommender systems want apparently incompatible things: they pride themselves on the scale at which their software works, but they also want to treat their materials and users with care. Care and scale are commonly understood as contradictory goals: to be careful is...

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Vydáno v:Cultural anthropology Ročník 36; číslo 3; s. 509 - 537
Hlavní autor: SEAVER, NICK
Médium: Journal Article
Jazyk:angličtina
Vydáno: Washington Wiley 01.08.2021
American Anthropological Association
Témata:
Algorithms
care
Ethics
Machine learning
Mathematics
Music
Recommender systems
scale
Software
ISSN:0886-7356, 1548-1360
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Shrnutí:The people who make algorithmic recommender systems want apparently incompatible things: they pride themselves on the scale at which their software works, but they also want to treat their materials and users with care. Care and scale are commonly understood as contradictory goals: to be careful is to work at small scale, while working at large scale requires abandoning the small concerns of care. Drawing together anthropological work on care and scale, this article analyzes how people who make music recommender systems try to reconcile these values, reimagining what care and scale mean and how they relate to each other in the process. It describes decorrelation, an ethical technique that metaphorically borrows from the mathematics of machine learning, which practitioners use to reimagine how values might relate with each other. This “decorrelative ethics” facilitates new arrangements of care and scale, which challenge conventional anthropological theorizing.
Bibliografie:ObjectType-Article-1
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content type line 14
ISSN:0886-7356
1548-1360
DOI:10.14506/ca36.3.11