08 Jan 2026
20m

At The Money: Fan Favorite - Algorithmic Harm

Podcast cover

Masters in Business

Algorithmic harm, the central topic, is defined as the exploitation of consumers' lack of information or behavioral biases through algorithms, as explored by Cass Sunstein, Harvard Law professor and author of "Algorithmic Harm." The discussion covers how algorithms can lead to price and quality discrimination, potentially harming vulnerable consumers. A key concern is the creation of "echo chambers" in news and information consumption, where algorithms feed users content that reinforces their existing beliefs, which can be detrimental to a self-regulating democracy. The conversation also addresses the balance between market efficiency, consumer protection, and the need for algorithmic transparency, particularly as AI becomes more sophisticated.

Outlines

Part 1: Introduction, Definitions

Part 2: Mechanisms of Influence and Harm

Part 3: Behavioral Exploitation and AI Risks

Part 4: Solutions and Conclusion

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