Author ORCID Identifier
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.
Recommended Citation
Tsai, CH., Carroll, J.M. (2022). Logic and Pragmatics in AI Explanation. In: Holzinger, A., Goebel, R., Fong, R., Moon, T., Müller, KR., Samek, W. (eds) xxAI - Beyond Explainable AI. xxAI 2020. Lecture Notes in Computer Science, vol 13200. Springer, Cham. 387-396. https://doi.org/10.1007/978-3-031-04083-2_19
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This work is licensed under a Creative Commons Attribution 4.0 License.
Comments
This chapter was published open access under the Creative Commons Attribution license