AI traffic safety concerns the use of artificial intelligence to prevent crashes and reduce injuries in road transport systems. Work in this area spans perception and decision-making for autonomous and cooperative driving, AI-enhanced traffic cameras and inspections, and predictive tools for urban planning and enforcement. Human factors are central, including driver stress and vigilance monitoring, cognitive load and takeover performance in semi-autonomous vehicles, moral decision-making in automated systems, and feedback-based interventions that shape safer driving behavior.
Machine learning & AI
Anthropic CEO and co-founder Dario Amodei has published an essay titled "We Must Pace the Frontier". He expressed ongoing concerns over the "misuse of AI for cyberattacks and bioterrorism" and fears that a swarm of AI agents ...
Sep 15, 2026
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Automotive
For a pedestrian, the decision to cross a busy road often involves a distinct moment of human connection—an exchange of subtle cues with drivers, such as eye contact or a hand wave, to judge whether it is safe to proceed.
Sep 10, 2026
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Automotive
Imagine getting into a London taxi. Someone is sitting in the driver's seat, but the car is driving itself. If the autonomous system gets into difficulty, they must recognize what is happening, decide whether to intervene ...
Sep 3, 2026
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Automotive
A new AI framework can predict how fast an ambulance will move through city traffic, giving fire departments a way to test emergency response strategies in a virtual environment before making changes on real streets.
Sep 3, 2026
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Automotive
Self-driving cars are often controlled by deep learning models that sometimes fail in unexpected situations. For instance, the car might inexplicably brake and block the path of an oncoming emergency vehicle. A human driver ...
Sep 2, 2026
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Machine learning & AI
Artificial intelligence (AI) may have more to offer science than accurate predictions. The patterns it learns could point researchers toward new, testable explanations of how complex systems function.
Sep 2, 2026
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Security
In computer vision and robotics, ensuring that AI systems remain reliable under real-world conditions is a growing challenge. Deep neural network (DNN)-based vision systems are increasingly used in safety-critical applications ...
Aug 31, 2026
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Machine learning & AI
Researchers from the Holsworth Biomedical Research Centre are developing AI models that use video data to estimate the forces cyclists apply to their pedals.
Aug 31, 2026
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Automotive
Officials struggled for years to curb high-speed crashes along a residential corridor cutting through Albuquerque, New Mexico, but simply punishing the lead-footed drivers didn't seem to work.
Aug 30, 2026
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Consumer & Gadgets
For people who are blind or have low vision, moving around independently is a daily challenge. Harvard researchers have developed a new tool that could help people navigate more quickly and safely with nothing more than a ...
Aug 24, 2026
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