Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness

arXiv:2403.14641v1 Announce Type: cross
Abstract: This study explores the complexities of integrating Artificial Intelligence (AI) into Autonomous Vehicles (AVs), examining the challenges introduced by AI components and the impact on testing procedures, focusing on some of the essential requirements for trustworthy AI. Topics addressed include the role of AI at various operational layers of AVs, the implications of the EU's AI Act on AVs, and the need for new testing methodologies for Advanced Driver Assistance Systems (ADAS) and Automated Driving …

abstract artificial artificial intelligence arxiv autonomous autonomous vehicles avs challenges complexities components cs.ai cs.cy cs.lg cybersecurity fairness impact intelligence perspectives requirements robustness study testing topics transparency trustworthy trustworthy ai type vehicles