Human-Centered Explainable AI (HCXAI): Reloading Explainability in the Era of Large Language Models (LLMs)

Upol Ehsan, Elizabeth A. Watkins, Philipp Wintersberger, Carina Manger, Sunnie S.Y. Kim, Niels Van Berkel, Andreas Riener, Mark O. Riedl

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

1 Citation (Scopus)

Abstract

Human-centered XAI (HCXAI) advocates that algorithmic transparency alone is not sufficient for making AI explainable. Explainability of AI is more than just "opening"the black box - who opens it matters just as much, if not more, as the ways of opening it. In the era of Large Language Models (LLMs), is "opening the black box"still a realistic goal for XAI? In this fourth CHI workshop on Human-centered XAI (HCXAI), we build on the maturation through the previous three installments to craft the coming-of-age story of HCXAI in the era of Large Language Models (LLMs). We aim towards actionable interventions that recognize both affordances and pitfalls of XAI. The goal of the fourth installment is to question how XAI assumptions fare in the era of LLMs and examine how human-centered perspectives can be operationalized at the conceptual, methodological, and technical levels. Encouraging holistic (historical, sociological, and technical) approaches, we emphasize "operationalizing."We seek actionable analysis frameworks, concrete design guidelines, transferable evaluation methods, and principles for accountability.

Original languageEnglish
Title of host publicationCHI 2024 - Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Sytems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9798400703317
DOIs
Publication statusPublished - 11 May 2024
Event2024 CHI Conference on Human Factors in Computing Sytems, CHI EA 2024 - Hybrid, Honolulu, United States
Duration: 11 May 202416 May 2024

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2024 CHI Conference on Human Factors in Computing Sytems, CHI EA 2024
Country/TerritoryUnited States
CityHybrid, Honolulu
Period11.05.202416.05.2024

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