Remove Black Box AI Remove Explainable AI Remove Robotics
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Who Is Responsible If Healthcare AI Fails?

Unite.AI

Doctors and patients can use AI as purely a software-based decision-making tool or AI can be the brain of physical devices like robots. For example, what happens if an AI-powered surgery robot malfunctions during a procedure? At the root of AI mistakes like these is the nature of AI models themselves.

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Using AI for Predictive Analytics in Aviation Safety

Aiiot Talk

When developers and users can’t see how AI connects data points, it is more challenging to notice flawed conclusions. Black-box AI poses a serious concern in the aviation industry. In fact, explainability is a top priority laid out in the European Union Aviation Safety Administration’s first-ever AI roadmap.

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Unlocking the Black Box: LIME and SHAP in the Realm of Explainable AI

Mlearning.ai

Principles of Explainable AI( Source ) Imagine a world where artificial intelligence (AI) not only makes decisions but also explains them as clearly as a human expert. This isn’t a scene from a sci-fi movie; it’s the emerging reality of Explainable AI (XAI). What is Explainable AI?