Logic and Pragmatics in AI Explanation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationxxAI - Beyond Explainable AI - International Workshop, Held in Conjunction with ICML 2020, Revised and Extended Papers
EditorsAndreas Holzinger, Randy Goebel, Ruth Fong, Taesup Moon, Klaus-Robert Müller, Wojciech Samek
PublisherSpringer Science and Business Media Deutschland GmbH
Pages387-396
Number of pages10
ISBN (Print)9783031040825
DOIs
StatePublished - 2022
EventInternational Workshop on Extending Explainable AI Beyond Deep Models and Classifiers, xxAI 2020, held in Conjunction with ICML 2020 - Vienna, Austria
Duration: Jul 18 2020Jul 18 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13200 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Workshop on Extending Explainable AI Beyond Deep Models and Classifiers, xxAI 2020, held in Conjunction with ICML 2020
Country/TerritoryAustria
CityVienna
Period7/18/207/18/20

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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