Article:
Menschengestützte Künstliche Intelligenz. Über die soziotechnischen Voraussetzungen von «deep learning»

Author(s): Mühlhoff, Rainer

Abstract

The current success of artificial intelligence is based not only on technological advances, but also on a fundamental sociotechnological structural change. Machine-learning methods such as deep learning require large amounts of training data that can only be obtained through human collaboration. In a convergence of methods of human-computer interaction and AI, a wealth of human-machine interfaces and media infrastructures has emerged over the past ten years, through which human cognitive resources are harnessed in hybrid human-machine apparatuses. These devices perform, as a whole, what is known as artificial intelligence. AI in its present form is thus a distributed, networked phenomenon.

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Mühlhoff, Rainer: Menschengestützte Künstliche Intelligenz. Über die soziotechnischen Voraussetzungen von «deep learning». In: Zeitschrift für Medienwissenschaft, Jg. 11 (2019), Nr. 2, S. 56-64. DOI: 10.25969/mediarep/12633.
@ARTICLE{Mühlhoff2019,
 author = {Mühlhoff, Rainer},
 title = {Menschengestützte Künstliche Intelligenz. Über die soziotechnischen Voraussetzungen von «deep learning»},
 year = 2019,
 doi = {10.25969/mediarep/12633},
 volume = 11,
 address = {Bielefeld},
 journal = {Zeitschrift für Medienwissenschaft},
 number = 2,
 pages = {56--64},
}
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