Summary of Position: Explain to Question Not to Justify, by Przemyslaw Biecek et al.
Position: Explain to Question not to Justify
by Przemyslaw Biecek, Wojciech Samek
First submitted to arxiv on: 21 Feb 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Cryptography and Security (cs.CR); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This position paper aims to clarify the state of Explainable Artificial Intelligence (XAI) by distinguishing between two complementary cultures: BLUE XAI, focused on human and value-oriented explanations, and RED XAI, centered around model and validation-oriented explanations. The authors argue that RED XAI is understudied and requires more methods for explainability to improve AI systems’ safety. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary In simple terms, this paper explores why we need better ways to understand how artificial intelligence (AI) works and make sure it’s safe. It divides the field of XAI into two parts: one that focuses on helping humans understand AI decisions, and another that looks at how to improve AI systems themselves. |
