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Mind the Gap! Bridging Explainable Artificial Intelligence and Human
  Understanding with Luhmann's Functional Theory of Communication

Mind the Gap! Bridging Explainable Artificial Intelligence and Human Understanding with Luhmann's Functional Theory of Communication

7 February 2023
B. Keenan
Kacper Sokol
ArXivPDFHTML

Papers citing "Mind the Gap! Bridging Explainable Artificial Intelligence and Human Understanding with Luhmann's Functional Theory of Communication"

7 / 7 papers shown
Title
Suboptimal Shapley Value Explanations
Suboptimal Shapley Value Explanations
Xiaolei Lu
FAtt
65
0
0
17 Feb 2025
What Does Evaluation of Explainable Artificial Intelligence Actually
  Tell Us? A Case for Compositional and Contextual Validation of XAI Building
  Blocks
What Does Evaluation of Explainable Artificial Intelligence Actually Tell Us? A Case for Compositional and Contextual Validation of XAI Building Blocks
Kacper Sokol
Julia E. Vogt
37
11
0
19 Mar 2024
Navigating Explanatory Multiverse Through Counterfactual Path Geometry
Navigating Explanatory Multiverse Through Counterfactual Path Geometry
Kacper Sokol
E. Small
Yueqing Xuan
32
5
0
05 Jun 2023
(Un)reasonable Allure of Ante-hoc Interpretability for High-stakes
  Domains: Transparency Is Necessary but Insufficient for Comprehensibility
(Un)reasonable Allure of Ante-hoc Interpretability for High-stakes Domains: Transparency Is Necessary but Insufficient for Comprehensibility
Kacper Sokol
Julia E. Vogt
22
9
0
04 Jun 2023
Helpful, Misleading or Confusing: How Humans Perceive Fundamental
  Building Blocks of Artificial Intelligence Explanations
Helpful, Misleading or Confusing: How Humans Perceive Fundamental Building Blocks of Artificial Intelligence Explanations
E. Small
Yueqing Xuan
Danula Hettiachchi
Kacper Sokol
21
10
0
02 Mar 2023
What and How of Machine Learning Transparency: Building Bespoke
  Explainability Tools with Interoperable Algorithmic Components
What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components
Kacper Sokol
Alexander Hepburn
Raúl Santos-Rodríguez
Peter A. Flach
39
8
0
08 Sep 2022
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
251
3,683
0
28 Feb 2017
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