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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.

Rapid moving advances in artificial intelligence have stirred controversy and debate, but they have all raised enticing prospects for supercharged technological

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