4 papers
The CIFAR Synthetic Evidence Corpus for Detecting AI-Generated Evidence
Kelly McConvey, Jalehsadat Mahdavimoghaddam, Nima Jamali +8
The growing ability of generative models to produce realistic documents poses a direct challenge to evidentiary workflows in the justice system and the courts, where decisions incr…
DetectZoo: A Unified Toolkit for AI-Generated Content Detection Across Text, Audio, and Image Modalities
Sajad Ebrahimi, Nima Jamali, Bardia Shirsalimian +8
The growing popularity and capacity of generative models have eroded the distinction between human and machine-generated content, motivating a growing body of work on detection acr…
Assessment of AI-Generated Pediatric Rehabilitation SOAP-Note Quality
Solomon Amenyo, Maura R. Grossman, Daniel G. Brown +1
This study explores the integration of artificial intelligence (AI) or large language models (LLMs) into pediatric rehabilitation clinical documentation, focusing on the generation…
Precarity and Solidarity: Preliminary results on a study of queer and disabled fiction writers' experiences with generative AI
C. E. Lamb, D. G. Brown, M. R. Grossman
We have undertaken a mixed-methods study of fiction writers' experiences and attitudes with generative AI, primarily focused on the experiences of queer and disabled writers. We fi…