Breaking things so you don’t have to: risk assessment and failure prediction for cyber-physical AI
Before autonomous systems can be deployed in safety-critical environments, we must be able to verify that they will perform safely, ideally without the risk and expense of real-world testing. A wide variety of formal methods and simulation-driven techniques have been developed to solve this verifica...
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/155397 https://orcid.org/0000-0002-8371-5313 |