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Explainability in JupyterLab and Beyond: Interactive XAI Systems for
  Integrated and Collaborative Workflows

Explainability in JupyterLab and Beyond: Interactive XAI Systems for Integrated and Collaborative Workflows

2 April 2024
G. Guo
Dustin L. Arendt
Alex Endert
ArXivPDFHTML

Papers citing "Explainability in JupyterLab and Beyond: Interactive XAI Systems for Integrated and Collaborative Workflows"

4 / 4 papers shown
Title
VAINE: Visualization and AI for Natural Experiments
VAINE: Visualization and AI for Natural Experiments
G. Guo
M. Glenski
Z. Shaw
Emily Saldanha
Alex Endert
Svitlana Volkova
Dustin L. Arendt
CML
35
8
0
09 Sep 2021
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A
  Stakeholder Perspective on XAI and a Conceptual Model Guiding
  Interdisciplinary XAI Research
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research
Markus Langer
Daniel Oster
Timo Speith
Holger Hermanns
Lena Kästner
Eva Schmidt
Andreas Sesing
Kevin Baum
XAI
43
415
0
15 Feb 2021
Evaluating the Interpretability of Generative Models by Interactive
  Reconstruction
Evaluating the Interpretability of Generative Models by Interactive Reconstruction
A. Ross
Nina Chen
Elisa Zhao Hang
Elena L. Glassman
Finale Doshi-Velez
92
49
0
02 Feb 2021
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,672
0
28 Feb 2017
1