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2017
Hurlburt, G. (2017): How Much to Trust Artificial Intelligence?. In: IT Professional 19 (4), S. 7-11. DOI: 10.1109/MITP.2017.3051326

DOI: https://doi.org/10.1109/MITP.2017.3051326

Abstract: Considerable buzz surrounds artificial intelligence, and, indeed, AI is all around us. As with any software-based technology, it is also prone to vulnerabilities. Here, the author examines how we determine whether AI is sufficiently reliable to do its job and how much we should trust its outcomes.

Keywords: AI, Artificial intelligence, Cognitive systems, distributed computing, ieee xplore, Künstliche Intelligenz, machine learning, Machine learning algorithms, Software engineering, software-based technology, Trust, trusted computing

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