Author's Response Opacity and Complexity of Learning Black Boxes
Esposito E (2021)
Constructivist Foundations 16(3): 377-380.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
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Abstract / Bemerkung
Non-transparent machine learning algorithms can be described as non-trivial machines that do not have to be understood, but controlled as communication partners. From the perspective of sociological systems theory, the normative component of control should be addressed with a critical attitude, observing what is normal as improbable.
Erscheinungsjahr
2021
Zeitschriftentitel
Constructivist Foundations
Band
16
Ausgabe
3
Seite(n)
377-380
eISSN
1782-348X
Page URI
https://pub.uni-bielefeld.de/record/2962993
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Esposito E. Author's Response Opacity and Complexity of Learning Black Boxes. Constructivist Foundations . 2021;16(3):377-380.
Esposito, E. (2021). Author's Response Opacity and Complexity of Learning Black Boxes. Constructivist Foundations , 16(3), 377-380.
Esposito, Elena. 2021. “Author's Response Opacity and Complexity of Learning Black Boxes”. Constructivist Foundations 16 (3): 377-380.
Esposito, E. (2021). Author's Response Opacity and Complexity of Learning Black Boxes. Constructivist Foundations 16, 377-380.
Esposito, E., 2021. Author's Response Opacity and Complexity of Learning Black Boxes. Constructivist Foundations , 16(3), p 377-380.
E. Esposito, “Author's Response Opacity and Complexity of Learning Black Boxes”, Constructivist Foundations , vol. 16, 2021, pp. 377-380.
Esposito, E.: Author's Response Opacity and Complexity of Learning Black Boxes. Constructivist Foundations . 16, 377-380 (2021).
Esposito, Elena. “Author's Response Opacity and Complexity of Learning Black Boxes”. Constructivist Foundations 16.3 (2021): 377-380.
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