Author ORCID Identifier

Tsai - https://orcid.org/0000-0001-9188-0362

Document Type

Monograph

Publication Date

4-17-2022

Publication Title

xxAI - Beyond explainable Artificial Intelligence

First Page

387

Last Page

396

Abstract

This paper reviews logical approaches and challenges raised for explaining AI. We discuss the issues of presenting explanations as accurate computational models that users cannot understand or use. Then, we introduce pragmatic approaches that consider explanation a sort of speech act that commits to felicity conditions, including intelligibility, trustworthiness, and usefulness to the users. We argue Explainable AI (XAI) is more than a matter of accurate and complete computational explanation, that it requires pragmatics to address the issues it seeks to address. At the end of this paper, we draw a historical analogy to usability. This term was understood logically and pragmatically, but that has evolved empirically through time to become more prosperous and more functional.

Comments

This chapter was published open access under the Creative Commons Attribution license

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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