Keep pulling the thread on Cass Sunstein.
Algorithmic news feeds on platforms like Facebook, TikTok, and Instagram, which contribute to media polarization exemplified by outlets like Fox News and MSNBC, pose a significant threat to American democracy.
Large language models can be used to create divergent realities for populations in different geographic locations, such as Los Angeles and Boise, posing a significant problem for mutual understanding and societal problem-solving.
A "right to algorithmic transparency" should be established as a regulatory principle, but no country in the U.S., Europe, Asia, South America, or Africa has made significant progress on this front.
Recommendation algorithms, such as those suggesting music, can cause individuals' tastes to calcify and lead to cultural balkanization.
Facebook's advertising platform allows targeting based on a wide range of user data, including likes, geography, search history, credit score, and purchase history.
ChatGPT is capable of learning a significant amount of "scarily precise" personal information about its users based on a relatively small number of prompts, such as a few dozen.
Europe's regulatory approach is more aggressive than that of the United States regarding consumer privacy protection and disclosure mandates for large technology companies.
Neither the United States nor Europe has effectively identified and addressed the core regulatory problem posed by algorithms that exploit consumer weaknesses.
As part of a right to algorithmic transparency, the public should be able to know what Amazon's recommendation and pricing algorithms are doing, without infringing on the company's legitimate rights.