Menschengestützte Künstliche Intelligenz. Über die soziotechnischen Voraussetzungen von «deep learning»
Menschengestützte Künstliche Intelligenz. Über die soziotechnischen Voraussetzungen von «deep learning»
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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Creative Commons Attribution Non Commercial No Derivatives 4.0 Generic
Creative Commons Attribution Non Commercial No Derivatives 4.0 Generic
Keywords:
deep learning