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Skeptic » Reading Room » AI and Uncertainty

Maggie Jackson discusses the importance of uncertainty in artificial intelligence (AI) and how it can lead to more collaborative and adaptable systems. Openly uncertain AI models are being developed to improve transparency and allow for better human-AI interaction. By constructing AI that admits its uncertainty, AI can work with humans to achieve complex goals and align with human preferences.

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These robots know when to ask for help

Large language models combined with confidence scores help them recognize uncertainty. That could be key to making robots safe and trustworthy.

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