可信赖性
计算机科学
人工智能
数据科学
计算机安全
作者
Franziska Zelba,Kaja Balzereit,Stefan Windmann
标识
DOI:10.1109/etfa61755.2024.10710991
摘要
Artificial intelligence (AI) is becoming increasingly popular in the context of industrial manufacturing. However, in industrial manufacturing in particular, it is important to ensure the trustworthiness of AI. In this article, we give an overview of different aspects of trustworthy AI in this context. At first, we divide the topic into three different components, namely data, algorithm, and IT infrastructure. We identify several aspects of these components that are required for the trustworthy use of AI. Measures to achieve trustworthy AI are then derived and illustrated on the basis of a specific use case. It is further intended in the ongoing work to evaluate the impact of the individual measures.
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