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2024
Journal Article
Title
Interaktives ML zur Adaption von KI-Systemen
Other Title
Interactive ML for the adaptation of AI systems
Abstract
Flexible production processes and mastering a wide range of variants are becoming increasingly important for companies. Artificial intelligence helps companies to operate efficiently despite these requirements. However, data requirements and a lack of transparency are a barrier to the use of AI. Interactive machine learning can be a solution to this. Involving domain experts in training can improve acceptance of the system, while the use of active learning reduces data requirements. Assembly and quality assurance are just two areas of application.
Open Access
File(s)
Rights
CC BY 4.0: Creative Commons Attribution
Additional link
Language
German