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2209.03813
Cited By

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

Journal of Open Source Education (JOSE), 2020

8 September 2022

Alexander Hepburn

Raúl Santos-Rodríguez

ArXiv (abs)PDF HTML Github (1★)

Papers citing "What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components"

6 / 6 papers shown

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

307

20

0

19 Mar 2024

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

Danula Hettiachchi

276

11

0

02 Mar 2023

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

444

9

0

07 Feb 2023

Explainability Is in the Mind of the Beholder: Establishing the
Foundations of Explainable Artificial Intelligence

Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence

291

28

0

29 Dec 2021

Interpretable Representations in Explainable AI: From Theory to Practice

Interpretable Representations in Explainable AI: From Theory to Practice

391

16

0

16 Aug 2020

FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability
and Transparency

FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency

Raúl Santos-Rodríguez

224

41

0

11 Sep 2019

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