132 citations · 133 across the 3 of their papers we have counts for
3 papers
Examining the Expanding Role of Synthetic Data Throughout the AI Development Pipeline
Shivani Kapania, Stephanie Ballard, Alex Kessler +1
Alongside the growth of generative AI, we are witnessing a surge in the use of synthetic data across all stages of the AI development pipeline. It is now common practice for resear…
"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust
Sunnie S. Y. Kim, Q. Vera Liao, Mihaela Vorvoreanu +2
Widely deployed large language models (LLMs) can produce convincing yet incorrect outputs, potentially misleading users who may rely on them as if they were correct. To reduce such…
Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments
Anthony Cintron Roman, Jennifer Wortman Vaughan, Valerie See +4
This paper introduces a no-code, machine-readable documentation framework for open datasets, with a focus on responsible AI (RAI) considerations. The framework aims to improve comp…