The new Machine Learning Explainable AI (XAI) systems is a novel field aimed to give rationale on how black box decisions of AI systems are made, inspecting and attempting to understand the steps and variables involved in decision making, in order to increase human trust and provide additional useful information about the predictions.

Tyris AI has developed zExplAIn, a new Machine Learning explainable-AI-based within the ZDMP platform in Ford Valencia Factory. zExplAIn provides rationale and insights to the factory operators on the origin and root causes of the anomalies detected within ZDMP, acting as an analytical layer that runs on top of the AI Analytic Runtime module to expand the results already provided by other AI-based zApps, such as zAnomalyDetector.

The project has been founded by program HORIZON 2020 from European Commission.

Thanks to:

ZDMP & Ford España

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+ SOLUTION INFO:

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