I Think I Get Your Point, AI! The Illusion of Explanatory Depth in Explainable AI-Reference-Cited by-同舟云学术

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I Think I Get Your Point, AI! The Illusion of Explanatory Depth in Explainable AI

Published:2021-04-13 Issue: Volume: Page:
ISSN:
Container-title:26th International Conference on Intelligent User Interfaces
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Author:

Chromik Michael¹,Eiband Malin¹,Buchner Felicitas¹,Krüger Adrian¹,Butz Andreas¹

Affiliation:

1. LMU Munich, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3397481.3450644

Reference60 articles.

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

2. Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)

3. Evaluating saliency map explanations for convolutional neural networks

4. Explainable machine learning in deployment

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1. Toward Human-centered XAI in Practice: A survey;Machine Intelligence Research;2024-01-12

2. How Stated Accuracy of an AI System and Analogies to Explain Accuracy Affect Human Reliance on the System;Proceedings of the ACM on Human-Computer Interaction;2023-09-28

3. Co-Designing with Users the Explanations for a Proactive Auto-Response Messaging Agent;Proceedings of the ACM on Human-Computer Interaction;2023-09-11

4. Survey on Explainable AI: From Approaches, Limitations and Applications Aspects;Human-Centric Intelligent Systems;2023-08-10

5. Predicting the need for XAI from high-granularity interaction data;International Journal of Human-Computer Studies;2023-07

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