#safety-critical-ai2 articles

2 articles

AIBullisharXiv – CS AI · 7h ago7/10

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Towards provable probabilistic safety for scalable embodied AI systems

Researchers propose a shift from deterministic to probabilistic safety verification for embodied AI systems, arguing that provable probabilistic guarantees offer a more practical path to large-scale deployment in safety-critical applications like autonomous vehicles and robotics than the infeasible goal of absolute safety across all scenarios.

AINeutralarXiv – CS AI · 7h ago6/10

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SymptomWise: A Deterministic Reasoning Layer for Reliable and Efficient AI Systems

SymptomWise introduces a deterministic reasoning framework that separates language understanding from diagnostic inference in AI-driven medical systems, combining expert-curated knowledge with constrained LLM use to improve reliability and reduce hallucinations. The system achieved 88% accuracy in placing correct diagnoses in top-five differentials on challenging pediatric neurology cases, demonstrating how structured approaches can enhance AI safety in critical domains.