Computational Approaches to AI Safety and Autonomous Driving

Dear Colleagues,

This Special Issue on "Computational Approaches to AI Safety and Autonomous Driving" aims to delve into the critical intersection of artificial intelligence (AI) safety and the rapidly evolving field of autonomous vehicles. As self-driving technology advances, ensuring the safety and reliability of AI systems in real-world driving scenarios becomes paramount. We invite contributions that explore the challenges, solutions, and best practices in developing AI algorithms that can navigate complex, unpredictable environments with minimal human intervention.

Topics of interest include, but are not limited to, robust perception systems, decision making under uncertainty, ethical considerations in AI-driven vehicles, verification and validation techniques for autonomous driving systems, and the impact of AI safety on public trust and regulatory frameworks.

This Special Issue seeks to foster interdisciplinary dialogue and innovation, bringing together researchers, engineers, and policymakers to address the pressing safety concerns in autonomous driving and pave the way for safer, more intelligent transportation systems.

Dr. Jinlai Zhang
Guest Editor

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