Human-centred explanations for artificial intelligence systems

Author:

Baber C.1,Kandola P.1,Apperly I.2,McCormick E.2

Affiliation:

1. School of Computer Science, University of Birmingham, Birmingham, UK

2. School of Psychology, University of Birmingham, Birmingham, UK

Funder

ESRC/CREST

Publisher

Informa UK Limited

Reference41 articles.

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

2. Alufaisan, Y., L. R. Marusich, J. Z. Bakdash, Y. Zhou, and M. Kantarcioglu. 2021. “Does Explainable Artificial Intelligence Improve Human Decision-Making?” Proceedings of the AAAI Conference on Artificial Intelligence, 6618–6626. Washington, DC: Association for the Advancement of Artificial Intelligence.

3. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

4. A Framework for Explainable AI;Baber C.;Proceedings of Institute of Ergonomics and Human Factors,2020

5. Baber, C., E. McCormick, and I. Apperley. 2021. “A Human-Centered Process Model for Explainable AI.” Naturalistic Decision Making and Resilience Engineering Symposium 2021.

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