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xxAI - Beyond Explainable AI
Statistical machine learning (ML) has triggered a renaissance of artificial intelligence (AI). While the most successful ML models, including Deep Neural Networks (DNN), have developed better predictivity, they have become increasingly complex, at the expense of human interpretability (correlation vs. causality). The field of explainable AI (xAI) has emerged with the goal of creating tools and models that are both predictive and interpretable and understandable for humans.
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Detail Information
- Series Title
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Lecture Notes in Computer Science
- Call Number
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X, 397
- Publisher
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Springer Cham :
Springer Cham.,
2023
- Collation
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- Language
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English
- ISBN/ISSN
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- Classification
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NONE
- Content Type
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text
- Media Type
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computer
- Carrier Type
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online resource
- Edition
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1
- Subject(s)
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- Specific Detail Info
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- Statement of Responsibility
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Andreas Holzinger
Other Information
- Cataloger
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- Source
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https://link.springer.com/book/10.1007/978-3-031-04083-2
- Validator
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Suwardi
- Digital Object Identifier (DOI)
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- Journal Volume
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- Journal Issue
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- Subtitle
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- Parallel Title
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