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cover of episode Latanya Sweeney on AI, trust, and privacy

Latanya Sweeney on AI, trust, and privacy

2025/2/26
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Possible

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Latanya Sweeney: 我毕生致力于将科技的益处带给社会,同时避免其危害。在生成式AI时代,信任问题至关重要。我们需要重新思考我们对在线内容、数据共享以及算法的信任。从我曾祖父在种族隔离南方生存的经验中,我认识到匿名的重要性,这在如今数据透明的时代尤为重要。 我的Weld实验表明,看似匿名的数据可以通过简单的信息组合进行重新识别,这改变了数据共享的相关法律法规。我们正经历第三次工业革命,AI快速改变着我们的生活,但我们缺乏时间来适应。我们生活在一个技术统治的社会,技术设计决定了我们的生活方式,法律法规的执行也受限于技术。我们需要在民主、共和与资本主义三者之间取得平衡,才能更好地应对AI带来的挑战。 建立对AI的信任需要深层次的努力,而不仅仅是表面措施。AI总能找到操纵我们的方法,我们需要重新评估我们对在线内容的信任。内容审核是一个计算机科学问题,需要更有效的方法来解决,而不是简单地放弃。解决内容审核等问题,应设定衡量标准,而不是制定具体的规则,从而鼓励公司创新并承担社会责任。为了让科技公司对社会负责,需要采取多种措施,包括法律责任、设定指标和公开谴责等。LinkedIn等平台在推荐人才时,需要避免算法歧视,确保公平性。AI可以彻底改变教育方式,但同时也需要重新思考学生如何学习和掌握技能。 我的学生们给了我很多希望,他们对AI时代的挑战有着更清晰的认识。 Reid Hoffman: 我们探讨了生成式AI的巨大潜力及其带来的挑战,特别是关于信任和社会责任的问题。我们关注如何利用AI塑造更美好的未来,并探讨了如何通过技术手段维护民主价值观,以及如何应对AI带来的伦理和社会问题。 Aria Finger: 我们与Latanya Sweeney教授探讨了AI对信任和隐私的影响,以及如何平衡AI的益处和潜在危害。我们还讨论了技术素养、内容审核、以及AI对教育的影响等重要议题。

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How does the rise of AI impact our sense of what’s true? How can humans maintain a degree of individual privacy and unlock the benefits of AI while mitigating potential harms? In this episode, Reid and Aria sit down with data privacy pioneer Latanya Sweeney, Professor of Government and Technology at Harvard; former Chief Technology Officer at the U.S. Federal Trade Commission; and founder of Harvard’s Public Interest Tech Lab and Data Privacy Lab. They discuss the future of privacy protection, technocracy vs. democracy, teaching in the age of AI, governance, content moderation, and more. 

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

Topics:

0:55 - Episode introduction

3:05 - Lessons from Latanya's grandparents

4:30 - Latanya's early days at MIT

5:38 - Re-identification and Governor William Weld example

10:50 - Historical arc of AI

12:24 - The Third Industrial Revolution

15:11 - Technocracy vs. democracy 

18:38 - Making technological literacy a federal priority

21:03 - Divisiveness in AI 

26:20 - Exploring humanity's "cultural dream" of AI

27:17 - Midroll ad break

27:49 - What will it take to build trust in AI at scale?

31:11 - Inflection's Pi lists key elements for a tech-conscious social contract

32:04 - Latanya responds to Pi and talks LLM truth-telling

34:20 - The best of public interest technology

37:02 - Improving content moderation

43:24 - Democratizing public interest technology

44:24 - Feedback and improvements for LinkedIn

47:53 - What does AI mean for education?

49:35 - Insights from Latanya's Harvard students

51:08 - Rapid-fire questions

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. Whether it's Inflection’s Pi, OpenAI’s ChatGPT or other AI tools, each episode will use AI to enhance and advance our discussion about what humanity could possibly get right if we leverage technology—and our collective effort—effectively.