5 citations · 5 across the 5 of their papers we have counts for
6 papers
"Always Want to Use it for Everything": Understanding Young Adults' Perceptions of AI Dependence
Ashlee Milton, Leah Ajmani, Amy Heger +3
The growing integration of general-purpose AI chatbots into people's daily lives has raised concerns about the potential for unhealthy dependence, particularly among young adults.…
Psychological Influences of Conversational AI: Research and Design Directions for Reducing Harm and Promoting Well-Being
Jina Suh, Mihaela Vorvoreanu, Forough Poursabzi-Sangdeh +5
As conversational AI systems become increasingly integrated into daily life, their potential effects on user well-being require ongoing attention. While consumer-facing generalist…
Media Integrity and Authentication: Status, Directions, and Futures
Jessica Young, Sam Vaughan, Andrew Jenks +9
We provide background on emerging challenges and future directions with media integrity and authentication methods, focusing on distinguishing AI-generated media from authentic con…
Introducing v0.5 of the AI Safety Benchmark from MLCommons
Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed +97
This paper introduces v0.5 of the AI Safety Benchmark, which has been created by the MLCommons AI Safety Working Group. The AI Safety Benchmark has been designed to assess the safe…
Aligning Offline Metrics and Human Judgments of Value for Code Generation Models
Victor Dibia, Adam Fourney, Gagan Bansal +3
Large language models have demonstrated great potential to assist programmers in generating code. For such human-AI pair programming scenarios, we empirically demonstrate that whil…
Manipulating and Measuring Model Interpretability
Forough Poursabzi-Sangdeh, Daniel G. Goldstein, Jake M. Hofman +2
With machine learning models being increasingly used to aid decision making even in high-stakes domains, there has been a growing interest in developing interpretable models. Altho…