Summary of Trustworthy Xai and Application, by Md Abdullah Al Nasim et al.
Trustworthy XAI and Application
by MD Abdullah Al Nasim, Parag Biswas, Abdur Rashid, Angona Biswas, Kishor Datta Gupta
First submitted to arxiv on: 22 Oct 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 The paper explores Explainable Artificial Intelligence (XAI), a critical aspect of ensuring AI systems behave consistently, fairly, and ethically. XAI aims to provide transparency, explainability, and trustworthiness in AI decision-making processes, which are increasingly complex and opaque due to the use of deep neural networks with millions of parameters and layers. The authors highlight the importance of trust in establishing a reliable relationship between humans and AI systems, facilitating their integration into various applications and domains for societal benefit. This paper reviews recent studies employing trustworthy XAI in diverse application fields, emphasizing the need for transparency, explainability, and trustworthiness to establish accountability, fairness, and justice. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine a world where artificial intelligence (AI) can think like humans do. Today, AI is already everywhere – from self-driving cars to smart home devices. But with great power comes great responsibility. Some AI systems are so complicated that we can’t understand how they make decisions. This raises questions about fairness and justice. To address these concerns, experts developed “Explainable Artificial Intelligence” (XAI). XAI aims to ensure AI systems behave consistently and fairly by being transparent and easy to understand. Trust is key in this process. The authors of this article explore XAI’s importance and discuss how it can be used in various fields to benefit society. |
