Author

Y. Bengio

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Review Jul 2026

Towards Trustworthy Physical AI: From Theory to Practice Across Life Cycle

The Trustworthy Physical AI (T-PAI) framework is developed, a theoretical framework that organizes key trustworthiness principles and provides a foundation for governing trustworthy physical AI systems.

Wang Yang, Hong-Xuan Liu, Xing-Hui Xu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

AI Safety: Not Optional, Not Later

Incidents show that AI safety failures often arise across multiple layers. We present a safety-by-design assurance architecture combining model-level supervision, such as Scientist AI, with system-level controls over scaffolds and harnesses, independent verification, monitoring, and evidence infrastructure, supported b...

Qing-Hua Lu, Y. Bengio · 0 citations