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Erschienen in:
Zeros and Ones: Striving to Classify Kapitel lesen Erstes Kapitel lesen

2024 | OriginalPaper | Buchkapitel

2. Data Extractions and Extractors

verfasst von : Marco Marabelli

Erschienen in: AI, Ethics, and Discrimination in Business

Verlag: Springer International Publishing

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Abstract

In this chapter, I discuss practices and technologies used to extract data from what (McAfee & Brynjolfsson, Harvard Business Review 90:61–67, 2012), in their seminal paper on big data, call “walking data generators.” I focus on data extractions (namely, practices that focus on maximizing the collection, storage, and processing of so-called “big data”) and data extractors (the technologies used to perform such tasks (extractions)).

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Vorheriges Kapitel Zeros and Ones: Striving to Classify
Nächstes Kapitel Training AI, Computation, and the Environment
Fußnoten
7
Other relevant contribution to the literature (and practice) of the dynamics between Uber drivers and the app were recently made by my colleague and friend Mareike Mohlmann, also coauthor of the paper that is cited above. Examples of her contributions are Möhlmann and Henfridsson (2019), Möhlmann (2021), and Möhlmann et al. (2021).
 
60
Note that this system was created in 1965, but it was only in 199 that the system “targeted” the poor (http://​etheses.​lse.​ac.​uk/​950/​).
 
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Metadaten
Titel
Data Extractions and Extractors
verfasst von
Marco Marabelli
Copyright-Jahr
2024
Buch
AI, Ethics, and Discrimination in Business

Print ISBN: 978-3-031-53918-3

Electronic ISBN: 978-3-031-53919-0

Copyright-Jahr: 2024

DOI
https://doi.org/10.1007/978-3-031-53919-0_2

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