Jon Kleinberg

In their words

• “Kleinberg et al. [35] provide a more theoretical analysis but suggest ways that platform can understand whether they are over-optimizing for System 1 while failing to provide reflective value.”

  · Engagement, User Satisfaction, and the Amplification of Divisive Content on Social Media · machine-resolved

• “One of the works which is most related to ours is Kleinberg et al. (2022) : in the setting of recommender systems, they also study what should be conceived of as user welfare, focusing on preference conflict.”

  · AI Alignment with Changing and Influenceable Reward Functions · machine-resolved

In the claim ledger

1 promoted claim about them. Assessments are the model’s knowledge, not verification.

• The paper reports Kleinberg et al.'s result that engagement optimization frequently fails to secure user welfare when system-1 and system-2 preferences conflict.

  consistent · AI Alignment with Changing and Influenceable Reward Functions