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.

Author’s Response: Opacity and Complexity of Learning Black Boxes

Elena Esposito
2021

Abstract

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.
Elena Esposito
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/828737
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