Summary of Explainable Generative Ai (genxai): a Survey, Conceptualization, and Research Agenda, by Johannes Schneider
Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda
by Johannes Schneider
First submitted to arxiv on: 15 Apr 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 growing importance of explainability (XAI) in generative AI (GenAI), which has shifted from recognizing to generating solutions. As GenAI-generated solutions become increasingly complex, novel needs and objectives have emerged for XAI. The authors highlight the challenges faced by XAI research with the rise of GenAI, including verifiability, interactivity, security, and cost. They survey existing works on XAI, provide a taxonomy of relevant dimensions, and discuss avenues to ensure XAI, such as training data and prompting. The paper also offers a concise technical background on GenAI for non-technical readers, focusing on text and images. While the manuscript is geared towards technically oriented people, it also interests social scientists and information systems researchers. The authors provide over ten directions for future investigation. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper talks about how artificial intelligence (AI) can explain its actions when creating new solutions. This is important because AI is now making complex things like pictures and text, and we need to understand why it’s doing what it’s saying. The authors discuss the challenges of making this explanation process work well, including making sure the explanations are accurate, interactive, and safe. They also look at existing ways that people have tried to make AI explain itself better. The paper is interesting for both technical experts and people in other fields who want to understand how AI works. |
Keywords
» Artificial intelligence » Prompting
