Making Sense of Machine Learning: A Review of Interpretation Techniques and Their Applications

Transparency in AI models is essential for promoting human–AI collaboration and ensuring regulatory compliance. However, interpreting these models is a complex process influenced by various methods and datasets. This study presents a comprehensive overview of foundational interpretation techniques,...

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Bibliographic Details
Main Authors: Ainura Tursunalieva, David L. J. Alexander, Rob Dunne, Jiaming Li, Luis Riera, Yanchang Zhao
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/14/2/496