Summary of Automated Explanation Selection For Scientific Discovery, by Markus Iser
Automated Explanation Selection for Scientific Discovery
by Markus Iser
First submitted to arxiv on: 24 Jul 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| 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 research proposes a novel approach to Explainable Artificial Intelligence (XAI) by combining machine learning with automated reasoning for generating and selecting explanations. The study presents a taxonomy of explanation selection problems, drawing on insights from sociology and cognitive science. This framework subsumes existing notions and extends them with new properties, aiming to improve trust in AI systems beyond their predictive accuracy and robustness. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Artificial intelligence is getting smarter every day! But how do we really know why it’s making those decisions? That’s where Explainable Artificial Intelligence (XAI) comes in. This technology helps us understand what our AI systems are doing, making them more trustworthy. Researchers have come up with a new way to combine machine learning and automated reasoning to make explanations. They also created a system for choosing the best explanation based on rules from sociology and how we think. This will help us understand why AI makes decisions and build trust in it. |
Keywords
» Artificial intelligence » Machine learning
