Incremental XAI: Memorable Understanding of AI with Incremental Explanations-Reference-Cited by-同舟云学术

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Incremental XAI: Memorable Understanding of AI with Incremental Explanations

Published:2024-05-11 Issue: Volume:31 Page:1-17
ISSN:
Container-title:Proceedings of the CHI Conference on Human Factors in Computing Systems
language:
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Author:

Bo Jessica Y¹^ORCID,Hao Pan²^ORCID,Lim Brian Y³^ORCID

Affiliation:

1. Department of Computer Science, University of Toronto, Canada and Department of Computer Science, National University of Singapore, Singapore

2. National University of Singapore, Singapore

3. Department of Computer Science, National University of Singapore, Singapore

Funder

Ministry of Education, Singapore

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613904.3642689

Reference68 articles.

1. Trends and Trajectories for Explainable, Accountable and Intelligible Systems

2. COGAM: Measuring and Moderating Cognitive Load in Machine Learning Model Explanations

3. Amina Adadi and Mohammed Berrada. 2018. Peeking inside the black-box: a survey on explainable artificial intelligence (XAI). IEEE access 6 (2018), 52138–52160.

4. Alejandro Barredo Arrieta, Natalia Díaz-Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-López, Daniel Molina, Richard Benjamins, 2020. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information fusion 58 (2020), 82–115.

5. On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

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