Autonomous vehicles hold the promise of making driving safer for everyone by removing the most common cause of traffic accidents, human drivers. However, such vehicles may pose a completely different type of risk to drivers, passengers and even pedestrians.

In order to drive by themselves, autonomous vehicles use AI systems that employ machine learning techniques to collect, analyze and transfer data to make decisions on the road that are normally made by human drivers. However, just like all IT systems, these systems are vulnerable to attacks that could compromise how self-driving vehicles function.



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