Abstract
We outline how assurance processes work for conventional systems and identify the primary difficulty in applying them to machine learning-enabled systems. We then outline a path forward, identifying where considerable research remains.
Cite
CITATION STYLE
APA
Goodloe, A. E. (2023). Assuring Safety-Critical Machine Learning-Enabled Systems: Challenges and Promise. Computer, 56(9), 83–88. https://doi.org/10.1109/MC.2023.3266860
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