Summary of A Brief Summary Of Explanatory Virtues, by Ingrid Zukerman
A Brief Summary of Explanatory Virtues
by Ingrid Zukerman
First submitted to arxiv on: 22 Nov 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL)
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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 The paper presents an analysis of the existing literature on Explanatory Virtues in philosophy, psychology, and cognitive science, with a focus on its connection to eXplainable AI (XAI). The authors examine the role of explanatory virtues in understanding human decision-making and judgment, highlighting their relevance to developing transparent and interpretable AI models. By bridging the gap between philosophical and psychological theories of explanation and XAI, this study aims to inform the design of more explainable AI systems that can provide insights into their decision-making processes. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper talks about how people make decisions and judgments, and how artificial intelligence (AI) can learn from these ways. The researchers looked at what makes something “explanatory” and how this relates to making AI models that are clear and easy to understand. By studying how humans think and decide, scientists hope to create AI systems that can explain themselves better. |
