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Towards Guaranteed Safe AI: A Framework to Ensure Robust and Reliable AI Systems 8 месяцев назад


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Towards Guaranteed Safe AI: A Framework to Ensure Robust and Reliable AI Systems

In this video, a researcher from Oxford University, Joar Skalse, proposes a framework that anticipates different stages of AI systems' development. The framework introduces world models, safety specifications, and verification methods for testing the safety of AI systems. It includes suggestions from prominent AI researchers and scientists, including Yoshua Bengio and Max Tegmark. The biggest argument during the ‪@BuzzRobot‬ talk was around the notion of the 'world model' and whether it's even possible to 'model' the world. Timestamps: 0:00 Introduction to AI safety issues 8:26 Designing "world models" for testing AI systems 15:28 Elaborating on safety specifications of AI systems 20:37 Verification methods for AI systems' safety 23:01 Q&A Social Links: Newsletter: https://buzzrobot.substack.com/ X: https://x.com/sopharicks Slack: https://join.slack.com/t/buzzrobot/sh...

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