4.8 Editorial Material

Hazards help autonomous cars to drive safely

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Article Multidisciplinary Sciences

Dense reinforcement learning for safety validation of autonomous vehicles

Shuo Feng et al.

Summary: A critical bottleneck for autonomous vehicle development and deployment is the high costs required to validate safety in real-world driving. Researchers have developed an intelligent testing environment using AI-based agents to accelerate the safety validation process without bias. Their approach reduces testing time by orders of magnitude and can also be applied to other safety-critical autonomous systems.

NATURE (2023)

Article Computer Science, Artificial Intelligence

Mind the gaps: Assuring the safety of autonomous systems from an engineering, ethical, and legal perspective

Simon Burton et al.

ARTIFICIAL INTELLIGENCE (2020)