System helps humans predict when self-driving cars will make mistakes

What to know

MIT and Motional researchers developed CW-Net, a system that explains an autonomous vehicle’s decisions through understandable concepts. In private-track tests and simulations, the explanations helped people anticipate vehicle behaviour and recognize mistakes. The findings concern these studies, rather than a demonstrated improvement in public-road safety.

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