1 citations · 1 across the 4 of their papers we have counts for
10 papers
The Beginning of ChatGPT Ads
Emma Lurie, Ro Encarnación, Sorelle A. Friedler +1
This paper presents the first empirical study of advertising content being rolled out in the user-facing online interfaces of large language models (LLMs). We systematically examin…
Triangulating Across U.S. Federal AI Transparency Regimes
Emma Lurie, Emma Fauser, Qing He +2
Federal AI systems can deny benefits or flag individuals for deportation, but the public disclosures meant to make those systems visible are fragmented and unevenly detailed. This…
Do Language Models Pass the Bechdel Test? Auditing Gender Biases in LLM-Generated Screenplays
Megha N. Govindu, Stephanie T. Wang, Sorelle A. Friedler +1
As large language models (LLMs) are increasingly used in media production from journalistm to filmmaking, what impact do they have on the stories being told? Prior work has shown L…
Edge interventions can mitigate demographic and prestige disparities in the Computer Science coauthorship network
Kate Barnes, Mia Ellis-Einhorn, Carolina Chávez-Ruelas +5
Social factors such as demographic traits and institutional prestige structure the creation and dissemination of ideas in academic publishing. One place these effects can be observ…
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse
Harry Cheon, Anneke Wernerfelt, Sorelle A. Friedler +1
Consumer protection rules require companies that deploy models to automate decisions in high-stakes settings to explain predictions to decision subjects. These rules are motivated,…
Longitudinal Monitoring of LLM Content Moderation of Social Issues
Yunlang Dai, Emma Lurie, Danaé Metaxa +1
Large language models' (LLMs') outputs are shaped by opaque and frequently-changing company content moderation policies and practices. LLM moderation often takes the form of refusa…