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Hannah Fry on AI, Algorithms, and Human Nature

2025/6/18
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Possible

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Hannah Fry: 在面对健康风险时,人们往往难以理解和应用统计数据。直接告知患者生存率或风险概率,并不能有效帮助他们做出明智的决定。重要的是要了解患者的价值观和生活目标,并以此为基础设计治疗方案。统计数字在人口层面可能适用,但对个体而言可能毫无意义。我主张通过感受来理解数学,而不是试图用数字来定义感受,因为概率实际上取决于你对风险的感受。应该有一个人充当翻译,与你坐下来,了解你生活中重要的事情,以及你重视的东西,并以此为基础为你设计一个尽可能好的治疗方案。

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What happens when we take numbers seriously—not just at face value, but in terms of their actual impact on our lives?

This week, Reid and Aria are joined by UK-based mathematician and media personality Hannah Fry to explore this deceptively simple question. From cancer diagnoses to dating apps, Hannah makes the case that understanding the math behind our decisions—and the "game" we're really playing—is essential to building a better future. 

They discuss why regret minimization is often a better guide than raw percentages in assessing risks; Hannah’s advice on finding love in a sea of swipe-rights; and how a well-framed question can be more powerful than the right answer. Plus, Inflection’s Pi chimes in with a few Jane-Austen-themed math jokes.

For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/

Topics:

3:01 - Hellos and intros

3:15 - Considering hairdressing, instant feedback, and becoming a broadcaster

5:11 - Making math emotionally resonant

7:37 - Math as power and who gets to shape the future

9:10 - Understanding AI through probabilities and spectrums

12:01 - The emotional limits of statistics in medical decision-making

16:22 - Choosing the right “game” to optimize for

19:57 - How to build systems that self-correct

23:19 - Rethinking education and assessments in the AI era

26:42 - Updating dating advice for the AI age

30:03 - Real-life “Black Mirror”

36:11 - Storytelling vs. statistics

41:47 - Probability thinking, AI confidence, and useful heuristics

45:31 - Pi delivers math-themed Jane Austen jokes

47:15 - Rapid-fire questions

__Select mentions: __

Google DeepMind: The Podcast)

The Mathematics of Love) TED Talk

When We Cease to Understand the World)** **by Benjamín Labatut

**“Women also Snowboard: Overcoming Bias in Captioning Models” **)by Kaylee Burns, Lisa Anne Hendricks, Kate Saenko, Trevor Darrell, and Anna Rohrbach

Possible is an award-winning podcast that sketches out the brightest version of the future—and what it will take to get there. Most of all, it asks: what if, in the future, everything breaks humanity's way? Tune in for grounded and speculative takes on how technology—and, in particular, AI—is inspiring change and transforming the future. Hosted by Reid Hoffman and Aria Finger, each episode features an interview with an ambitious builder or deep thinker on a topic, from art to geopolitics and from healthcare to education. These conversations also showcase another kind of guest: AI. Each episode seeks to enhance and advance our discussion about what humanity could possibly get right if we leverage technology—and our collective effort—effectively.