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AI 'hallucinations' can lead to catastrophic mistakes, but a new approach makes automated decisions more reliable

Live Science
Summary
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80% Informative

New, multi-stage approach aims to ensure AI systems that identify anomalies make fewer mistakes and produce explainable and easy-to-understand recommendations.

The new method aims to provide plant operators with the ability to check whether AI recommendations are correct or not.

The researchers combined these anomaly detection systems with eXplainable AI (XAI) tools to make them more trustworthy and transparent.