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Quantifying Divergence for Human-AI Collaboration and Cognitive Trust

Quantifying Divergence for Human-AI Collaboration and Cognitive Trust

14 December 2023
Muge Kural
Ali Gebesçe
T. Chubakov
Gözde Gül Sahin
    FedML
ArXivPDFHTML

Papers citing "Quantifying Divergence for Human-AI Collaboration and Cognitive Trust"

3 / 3 papers shown
Title
Comparing Zealous and Restrained AI Recommendations in a Real-World
  Human-AI Collaboration Task
Comparing Zealous and Restrained AI Recommendations in a Real-World Human-AI Collaboration Task
Chengyuan Xu
Kuo-Chin Lien
Tobias Höllerer
17
10
0
06 Oct 2024
ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on
  Simplified Radiology Reports
ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on Simplified Radiology Reports
Katharina Jeblick
B. Schachtner
Jakob Dexl
Andreas Mittermeier
Anna Theresa Stüber
...
Tobias Weber
Philipp Wesp
B. Sabel
J. Ricke
Michael Ingrisch
LM&MA
MedIm
103
368
0
30 Dec 2022
Grounded Copilot: How Programmers Interact with Code-Generating Models
Grounded Copilot: How Programmers Interact with Code-Generating Models
Shraddha Barke
M. James
Nadia Polikarpova
148
212
0
30 Jun 2022
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