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The Implications of Open Generative Models in Human-Centered Data
  Science Work: A Case Study with Fact-Checking Organizations

The Implications of Open Generative Models in Human-Centered Data Science Work: A Case Study with Fact-Checking Organizations

AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2024
4 August 2024
Robert Wolfe
Tanushree Mitra
ArXiv (abs)PDFHTML

Papers citing "The Implications of Open Generative Models in Human-Centered Data Science Work: A Case Study with Fact-Checking Organizations"

2 / 2 papers shown
Title
Fragments to Facts: Partial-Information Fragment Inference from LLMs
Fragments to Facts: Partial-Information Fragment Inference from LLMs
Lucas Rosenblatt
Bin Han
Robert Wolfe
Bill Howe
AAML
297
0
0
20 May 2025
Beyond Release: Access Considerations for Generative AI Systems
Beyond Release: Access Considerations for Generative AI Systems
Irene Solaiman
Rishi Bommasani
Dan Hendrycks
Ariel Herbert-Voss
Yacine Jernite
Aviya Skowron
Andrew Trask
504
3
0
23 Feb 2025
1