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Evaluating Human-AI Collaboration: A Review and Methodological Framework

Evaluating Human-AI Collaboration: A Review and Methodological Framework

9 July 2024
George Fragiadakis
Christos Diou
George Kousiouris
Mara Nikolaidou
ArXivPDFHTML

Papers citing "Evaluating Human-AI Collaboration: A Review and Methodological Framework"

9 / 9 papers shown
Title
The Human-Data-Model Interaction Canvas for Visual Analytics
The Human-Data-Model Interaction Canvas for Visual Analytics
Jürgen Bernard
40
0
0
12 May 2025
Bridging Expertise Gaps: The Role of LLMs in Human-AI Collaboration for Cybersecurity
Bridging Expertise Gaps: The Role of LLMs in Human-AI Collaboration for Cybersecurity
Shahroz Tariq
Ronal Singh
Mohan Baruwal Chhetri
Surya Nepal
Cécile Paris
46
1
0
06 May 2025
Towards Conversational AI for Human-Machine Collaborative MLOps
Towards Conversational AI for Human-Machine Collaborative MLOps
G. Fatouros
Georgios Makridis
George Kousiouris
John Soldatos
Anargyros Tsadimas
D. Kyriazis
LLMAG
AI4CE
57
0
0
16 Apr 2025
A Framework for Situating Innovations, Opportunities, and Challenges in Advancing Vertical Systems with Large AI Models
A Framework for Situating Innovations, Opportunities, and Challenges in Advancing Vertical Systems with Large AI Models
Gaurav Verma
Jiawei Zhou
Mohit Chandra
Srijan Kumar
M. D. Choudhury
48
0
0
03 Apr 2025
AI-Empowered Human Research Integrating Brain Science and Social
  Sciences Insights
AI-Empowered Human Research Integrating Brain Science and Social Sciences Insights
Feng Xiong
Xinguo Yu
Hon Wai Leong
73
0
0
16 Nov 2024
Causal Responsibility Attribution for Human-AI Collaboration
Causal Responsibility Attribution for Human-AI Collaboration
Yahang Qi
Bernhard Schölkopf
Zhijing Jin
24
0
0
05 Nov 2024
Using cognitive psychology to understand GPT-3
Using cognitive psychology to understand GPT-3
Marcel Binz
Eric Schulz
ELM
LLMAG
250
439
0
21 Jun 2022
Human-AI Collaboration in Data Science: Exploring Data Scientists'
  Perceptions of Automated AI
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI
Dakuo Wang
Justin D. Weisz
Michael J. Muller
Parikshit Ram
Werner Geyer
Casey Dugan
Y. Tausczik
Horst Samulowitz
Alexander G. Gray
166
309
0
05 Sep 2019
Improving fairness in machine learning systems: What do industry
  practitioners need?
Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein
Jennifer Wortman Vaughan
Hal Daumé
Miroslav Dudík
Hanna M. Wallach
FaML
HAI
192
742
0
13 Dec 2018
1