The Human Side of XAI: Bridging the Gap between AI and Non-expert Audiences-Reference-Cited by-同舟云学术

The Human Side of XAI: Bridging the Gap between AI and Non-expert Audiences

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 41st ACM International Conference on Design of Communication
language:
Short-container-title:

Author:

Severes Beatriz¹^ORCID,Carreira Carolina²^ORCID,Vieira Ana Beatriz³^ORCID,Gomes Eduardo⁴^ORCID,Aparício João Tiago⁵^ORCID,Pereira Inês³^ORCID

Affiliation:

1. ITI, LARSyS, Portugal and Instituto Superior Técnico, Universidade de Lisboa, Portugal

2. Carnegie Mellon University, USA, INESC-ID, Portugal and Universidade de Lisboa, Portugal

3. INESC-ID, Portugal and Instituto Superior Técnico, Universidade de Lisboa, Portugal

4. ITI, LARSyS, Portugal, INESC-ID, Portugal and Instituto Superior Técnico, Universidade de Lisboa, Portugal

5. LNEC, Portugal, INESC-ID, Portugal and Instituto Superior Técnico, Universidade de Lisboa, Portugal

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3615335.3623062

Reference25 articles.

1. 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.

2. Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2016. Neural Machine Translation by Jointly Learning to Align and Translate. https: //doi.org/10.48550/arXiv.1409.0473 arXiv:1409.0473 [cs stat].

3. How Cognitive Biases Affect XAI-assisted Decision-making

4. Felix Biessmann and Viktor Treu. 2021. A Turing Test for Transparency. arXiv preprint arXiv:2106.11394 (2021).

5. Contextualization and Exploration of Local Feature Importance Explanations to Improve Understanding and Satisfaction of Non-Expert Users