Google DeepMind：让 AI 学会承认不确定性，或能提升现实决策安全性
Google DeepMind 研究副总裁 Zoubin Ghahramani 与 Hannah Fry 讨论了不确定性、概率推理，以及让 AI 识别自身知识边界的重要性。相关观点涉及从天气预报到机器人等需要在信息不完整条件下运行的场景。
在 Google DeepMind 发布的一段对谈中，研究副总裁 Zoubin Ghahramani 与 Hannah Fry 探讨了如何让人工智能系统更好地处理未知情况。核心观点是，系统不应总是以绝对确定的口吻作答，而应能够表达概率、衡量信心，并识别自己可能不了解的内容。
这种能力可能对天气预报、机器人等现实应用尤为重要，因为这些系统通常需要在不完整或不断变化的信息下做出判断。相关讨论还将不确定性建模与更可靠、更审慎的 AI 决策联系起来，但现有材料主要是研究观点和访谈内容，并非一项新产品或性能公告。
从贝叶斯方法到现实世界模型，访谈强调了“不确定性”不一定是系统缺陷，也可以成为构建更稳健人工智能的重要组成部分。
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Transcript: The Mathematics of AI Uncertainty with Zoubin Ghahramani on DeepMind Podcast – The Singju Postsingjupost.com · supportingEDITOR’S NOTE: In this insightful interview, host Hannah Fry talks with Zoubin Ghahramani—Cambridge professor and VP of Research at Google DeepMind—about a problem he has been working on for three decades: teaching machines to know what they don’t know. Drawing on Bayesian thinking and real-world systems from weather models to AlphaFold, he argues that uncertainty isn’t a flaw in AI so much as a missing ingredient for more reliable, humble, and useful intelligence. ## Introduction HANNAH FRY (00:00:00 – 00:01:06): Welcome to Google DeepMind, the podcast. Now, if you ask an AI a question, then it will usually give you an absolute answer with unwavering authority, even if that answer turns out to be wrong. In fact, today’s AI seems to be missing a fundamental human trait, self-doubt. [...] ## Closing Thoughts: Embracing Uncertainty Hannah Fry (00:43:58 – 00:44:36): For years, we tried to build AI that was focused on accuracy, right? Building systems that crunch through enormous amount
Instagraminstagram.com · supportingLog In Sign Up googledeepmind's profile picture Never miss a post from googledeepmind Sign up for Instagram to stay in the loop. By continuing, you agree to Instagram's Terms of Use and Privacy Policy. Sign up Log in Video by Google DeepMind on August 27, 2026. May be an image of text. googledeepmind's profile picture googledeepmind • Follow googledeepmind's profile picture googledeepmind Edited• From weather forecasting to robotics, intelligent problem-solving relies on understanding the unknown. Our VP Research Zoubin Ghahramani explores with @fryrsquared why teaching systems self-doubt and probability can lead to safer, more reliable real-world decision-making. 🧠 Watch the full episode on our YouTube 🔗 vuve.ai's profile picture vuve.ai [...] Reply nikunj_bende's profile picture nikunj\_bende Always insightful @fryrsquared 🙌 Reply boringmanager's profile picture boringmanager 30 years working and what exactly to show for it? Reply ich_bin_batman
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