Summary of Understanding Xai Through the Philosopher’s Lens: a Historical Perspective, by Martina Mattioli et al.
Understanding XAI Through the Philosopher’s Lens: A Historical Perspective
by Martina Mattioli, Antonio Emanuele Cinà, Marcello Pelillo
First submitted to arxiv on: 26 Jul 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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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 paper explores the concept of explanation in AI from an epistemological perspective. Despite recent advancements in explainable AI (XAI), a unifying foundation is still lacking. The study draws parallels between the historical development of philosophy and AI, highlighting a gradual shift from logical-deductive to statistical models of explanation. Similar concepts emerge independently in both domains, such as the relationship between explanation and understanding, and the importance of pragmatic factors. This research aims to provide a philosophical underpinning for XAI, shedding light on its elusive nature. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper tries to understand how artificial intelligence (AI) can explain itself. Right now, AI is great at doing tasks, but it’s hard to know why it makes certain decisions. The study looks at how the concept of explanation has changed over time in both science and AI. It finds that there are similarities between how scientists have thought about explanation and how AI works. The goal is to understand what explains AI’s actions, making it more trustworthy. |
