Summary of Need Of Ai in Modern Education: in the Eyes Of Explainable Ai (xai), by Supriya Manna and Niladri Sett
Need of AI in Modern Education: in the Eyes of Explainable AI (xAI)
by Supriya Manna, Niladri Sett
First submitted to arxiv on: 31 Jul 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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Summary difficulty | Written by | Summary |
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High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary In this paper, researchers investigate how complex Artificial Intelligence (AI) models make decisions when explainability is crucial, particularly in education where parental income plays a significant role. The study reveals complexities linked to socioeconomic status and offers explanations for AI’s decision-making processes. However, the findings also uncover biases in AI that hinder transparency and equal access to education, emphasizing the need for more reliable and accountable AI solutions. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary Artificial Intelligence is changing education, but how it makes decisions can be tricky. This study looks at how complex AI models work when we want to understand why they make certain choices. The researchers found that these models are influenced by a parent’s income and offered some explanations for this. However, they also discovered biases in AI that make it harder for everyone to get an equal education. This means we need to develop better AI solutions that help all families and students. |