31 citations · 58 across the 20 of their papers we have counts for
6 papers · 1 filter
The Algorithmic Flattening of Sound: Computational Evidence and Justice Implications of AI Music Homogenization
Zoe Slendebroek, Danaé Metaxa
This paper audits whether large-scale generative music systems exhibit measurable musical homogenization relative to human-produced music, and develops a justice-centered account o…
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…
Cost-of-Ethics Crisis: Beliefs, Decisions, and Justifications in the Job Searches of Computer Science Students in Canada and the United States
Mohamed Abdalla, Sahar Abdalla, Alicia Cappello +4
Workplace norms in computer science have received growing attention due to a series of recent ethical scandals. One response has been a push to improve the ethics education provide…
Navigating Automated Hiring: Perceptions, Strategy Use, and Outcomes Among Young Job Seekers
Lena Armstrong, Danaé Metaxa
As the use of automated employment decision tools (AEDTs) has rapidly increased in hiring contexts, especially for computing jobs, there is still limited work on applicants' percep…
The Silicon Ceiling: Auditing GPT's Race and Gender Biases in Hiring
Lena Armstrong, Abbey Liu, Stephen MacNeil +1
Large language models (LLMs) are increasingly being introduced in workplace settings, with the goals of improving efficiency and fairness. However, concerns have arisen regarding t…