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Dede, G. et al.Cybersecurity challenges in the uptake of Artificial Intelligence in Autonomous Driving

Leseempfehlung

Autorinnen und Autoren:
Georgia Dede, Ronan Hamon, Henrik Junklewitz, Rossen Naydenov, Apostolos Malatras & Jose Ignacio Sanchez Martin

Erscheinungsdatum:
2021

Publikation:
JRC & ENISA, EUR 30568 EN, Amt für Veröffentlichungen der Europäischen Union, Luxemburg

New generations of cars are making use of advances in the field of Artificial Intelligence (AI) to provide semi-autonomous and autonomous driving capabilities, achieving a technological breakthrough that will strongly impact existing behaviors and practices. Beyond the undeniable benefits of autonomous driving for many aspects of our societies, the question of the safety and security of this technology, particularly against malicious actions, has emerged. On top of the cybersecurity considerations connected to the increased digitalization of cars, the uptake of AI technologies brings further cybersecurity risks that could compromise the proper functioning of these type of vehicles, potentially leading to serious impacts on the safety of passengers and other road users.

This report made by the JRC and the European Union Agency for Cybersecurity (ENISA) analyzes the cybersecurity risks connected to the uptake of AI in autonomous vehicles and provides recommendations for mitigating them. The report puts forward a set of challenges and recommendations to improve AI security in autonomous vehicles and mitigate these risks.

Link zur Publikation