Google Brain Built a Translator so AI Can Explain Itself

Scientists from Google's AI research division built a tool that AI developers can use to better understand how an algorithm arrived at a conclusion.

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A Google Brain scientist built a tool that can help artificial intelligence systems explain how they arrived at their conclusions — a notoriously tricky task for machine learning algorithms.

The tool, called Testing with Concept Activation Vectors or TCAV for short, can be plugged into machine learning algorithms to suss out how much they weighted different factors or types of data before churning out results, Quanta Magazine reports.


Tools like TCAV are in high demand as AI finds itself under greater scrutiny for the racial and gender bias that plagues artificial intelligence and the training data used to develop Lees verder

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