Explainable AI
Expanded definition
Explainable AI (XAI) aims to create models that can provide insights into their reasoning and decision-making processes. This is essential for building trust in AI systems, especially in critical fields such as healthcare, finance, and autonomous vehicles. By offering explanations, XAI helps users understand how models arrive at their conclusions, enabling better oversight and accountability.
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Explainable AI FAQ
What is Explainable AI?
A branch of artificial intelligence focused on making the decision-making processes of models understandable to humans.
How is Explainable AI used in AI systems?
Explainable AI (XAI) aims to create models that can provide insights into their reasoning and decision-making processes. This is essential for building trust in AI systems, especially in critical fields such as healthcare, finance, and autonomous vehicles. By offering explanations, XAI helps users understand how models arrive at their conclusions, enabling better oversight and accountability.
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