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Cybersecurity Challenges in the Uptake of Artificial Intelligence in Autonomous Driving

By Juan Jose Lopez Gonzalez posted Feb 17, 2021 07:04:53 AM


By removing the most common cause of traffic accidents – the human driver – autonomous vehicles are expected to reduce traffic accidents and fatalities. However, they may pose a completely different type of risk to drivers, passengers and pedestrians.

Autonomous vehicles use artificial intelligence systems, which employ machine-learning techniques to collect, analyse and transfer data, in order to make decisions that in conventional cars are taken by humans. These systems, like all IT systems, are vulnerable to attacks that could compromise the proper functioning of the vehicle.

A report by the European Union Agency for Cybersecurity (ENISA) and the Joint Research Centre (JRC) looks at cybersecurity risks connected to Artificial Intelligence (AI) in autonomous vehicles and provides recommendations for mitigating them.

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