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About Explainable Artificial Intelligence Approaches
The document surveys explainable artificial intelligence (XAI) approaches and discusses their merits, demerits, and challenges. It analyzes popular XAI methods using a case study on credit default prediction and compares their advantages from different perspectives like local and global explanations. The survey also provides insights on quantifying explainability and recommends paths toward responsible AI using XAI.
Detailed Information
Author: | ['ghrab Med'] |
---|---|
Publication Year: | 2022 |
Pages: | 14 |
Language: | English |
Format: | |
Price: | FREE |
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