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[HTML][HTML] AI alignment: Assessing the global impact of recommender systems
L Bojic - Futures, 2024 - Elsevier
The recent growing concerns surrounding the pervasive adoption of generative AI can be
traced back to the long-standing influence of AI algorithms that have predominantly served …
traced back to the long-standing influence of AI algorithms that have predominantly served …
Feedback loops with language models drive in-context reward hacking
A Pan, E Jones, M Jagadeesan, J Steinhardt - ar** the Design Space of Teachable Social Media Feed Experiences
Social media feeds are deeply personal spaces that reflect individual values and
preferences. However, top-down, platform-wide content algorithms can reduce users' sense …
preferences. However, top-down, platform-wide content algorithms can reduce users' sense …
Improved bayes risk can yield reduced social welfare under competition
As the scale of machine learning models increases, trends such as scaling laws anticipate
consistent downstream improvements in predictive accuracy. However, these trends take the …
consistent downstream improvements in predictive accuracy. However, these trends take the …
User welfare optimization in recommender systems with competing content creators
Driven by the new economic opportunities created by the creator economy, an increasing
number of content creators rely on and compete for revenue generated from online content …
number of content creators rely on and compete for revenue generated from online content …
Proactive recommendation with iterative preference guidance
Recommender systems mainly tailor personalized recommendations according to user
interests learned from user feedback. However, such recommender systems passively cater …
interests learned from user feedback. However, such recommender systems passively cater …
Accounting for ai and users sha** one another: The role of mathematical models
As AI systems enter into a growing number of societal domains, these systems increasingly
shape and are shaped by user preferences, opinions, and behaviors. However, the design …
shape and are shaped by user preferences, opinions, and behaviors. However, the design …
Human expertise in algorithmic prediction
We introduce a novel framework for incorporating human expertise into algorithmic
predictions. Our approach leverages human judgment to distinguish inputs which are …
predictions. Our approach leverages human judgment to distinguish inputs which are …