TY - GEN
T1 - Logic and Pragmatics in AI Explanation
AU - Tsai, Chun Hua
AU - Carroll, John M.
N1 - Publisher Copyright:
© 2022, The Author(s).
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85128937580&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85128937580&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-04083-2_19
DO - 10.1007/978-3-031-04083-2_19
M3 - Conference contribution
AN - SCOPUS:85128937580
SN - 9783031040825
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 387
EP - 396
BT - xxAI - Beyond Explainable AI - International Workshop, Held in Conjunction with ICML 2020, Revised and Extended Papers
A2 - Holzinger, Andreas
A2 - Goebel, Randy
A2 - Fong, Ruth
A2 - Moon, Taesup
A2 - Müller, Klaus-Robert
A2 - Samek, Wojciech
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Workshop on Extending Explainable AI Beyond Deep Models and Classifiers, xxAI 2020, held in Conjunction with ICML 2020
Y2 - 18 July 2020 through 18 July 2020
ER -