Explainable AI (XAI) is a set of techniques, design principles, and processes that help developers/organizations add a layer of transparency to AI algorithms.
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ITRex | Sciencx (2024-03-29T08:18:16+00:00) » Explainable AI Principles: What Should You Know About XAI. Retrieved from https://www.scien.cx/2021/08/28/explainable-ai-principles-what-should-you-know-about-xai/.
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CHICAGO" » Explainable AI Principles: What Should You Know About XAI." ITRex | Sciencx - Accessed 2024-03-29T08:18:16+00:00. https://www.scien.cx/2021/08/28/explainable-ai-principles-what-should-you-know-about-xai/
IEEE" » Explainable AI Principles: What Should You Know About XAI." ITRex | Sciencx [Online]. Available: https://www.scien.cx/2021/08/28/explainable-ai-principles-what-should-you-know-about-xai/. [Accessed: 2024-03-29T08:18:16+00:00]
rf:citation » Explainable AI Principles: What Should You Know About XAI | ITRex | Sciencx | https://www.scien.cx/2021/08/28/explainable-ai-principles-what-should-you-know-about-xai/ | 2024-03-29T08:18:16+00:00
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