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Individuals might have digital wealth, but operational wealth is nonexistent if the system collapses. Moreover, they might develop undesirable emergent behaviour that might be hard to detect before the system is deployed and encounters new situations and knowledge distributions. For example, if a sensor on an autonomous car is malfunctioning, or it encounters challenging terrain, it should alert the driver to take management or pull over. It additionally raises debates in healthcare over whether or not statistically efficient but opaque models needs to be used. Empirical research in 2024 discovered that advanced large language models (LLMs) equivalent to OpenAI o1 or Claude 3 sometimes have interaction in strategic deception to achieve their targets or prevent them from being changed. In 2021, Unsolved Problems in ML Security was printed, outlining research directions in robustness, monitoring, alignment, and systemic safety. The AI safety summit befell in November 2023, and focused on the dangers of misuse and loss of management related to frontier AI models. The MoU was signed on 1 April 2024 by US commerce secretary Gina Raimondo and UK know-how secretary Michelle Donelan to jointly develop advanced AI model testing, following commitments introduced at an AI Security Summit in Bletchley Park in Novem
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Emelia Pease edited this page 2026-11-01 23:15:26 +08:00