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cover of episode At The Money: Algorithmic Harm with Professor Cass Sunstein

At The Money: Algorithmic Harm with Professor Cass Sunstein

2025/6/4
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Masters in Business
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Cass Sunstein: 算法既可以根据个人喜好提供定制化服务，如Jedi Knights使用算法提供符合用户兴趣的信息和产品；但同时，Sith也会利用消费者信息不足和行为偏差进行剥削。例如，针对不了解健康产品的消费者，算法可能推送虚假广告；针对过于乐观的消费者，算法会利用其乐观偏见。我认为，算法根据经济状况调整价格，对富人收取更高价格，在一定程度上是合理的，因为这提高了系统效率。但如果算法意识到消费者缺乏信息，无论在定价还是质量方面，情况都会变得糟糕。算法越来越擅长识别消费者的弱点并加以利用。总之，算法在提供便利的同时，也存在被滥用以损害消费者利益的风险，需要加以警惕和规范。

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This chapter defines algorithmic harm using examples from Uber pricing, Amazon book recommendations, social media feeds, and music streaming services. It also introduces the concept of how algorithms can create cultural balkanization by reinforcing existing tastes and preferences, limiting exposure to diverse perspectives.
  • Algorithms determine prices (Uber), content (TikTok, Instagram), and even supermarket prices.
  • Algorithmic harm is defined as exploitation of consumers' lack of information or behavioral biases.
  • Algorithms can reinforce existing tastes, leading to cultural balkanization and hindering individual preference development.

Shownotes Transcript

What is the impact of “ Algorithms” on the prices you pay for your Uber, what gets fed to you on TikTok, even the prices you pay in the supermarket?

Cass Sunstein, professor at Harvard Law School co-author of the new book, “Algorithmic Harm: Protecting People in the Age of Artificial Intelligence” Previously he co-authored “Nudge” with Nobel Laureate Dick Thaler. We discuss whether all this algorithmic impact is helping or harming people.

Each week, “At the Money” discusses an important topic in money management. From portfolio construction to taxes and cutting down on fees, join Barry Ritholtz to learn the best ways to put your money to work.

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