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For questions related to explainable artificial intelligence (XAI), also known as interpretable AI, which refers to AI techniques that can be trusted and easily understood by humans, which are particularly relevant in areas like healthcare or self-driving cars. There are several concepts related to XAI, such as accountability, fairness, and transparency.
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Who is working on explaining the knowledge encoded into machine learning models? [duplicate]
The thing about machine learning (ML) that worries me is that "knowledge" acquired in ML is hidden: we usually can't explain the criteria or methods used by the machine to provide an answer when we as …
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Why do we need explainable AI?
IMHO, the most important need for explainable AI is to prevent us from becoming intellectually lazy. If we stop trying to understand how answers are found, we have conceded the game to our machines.