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Title: Building Appropriate Trust in Human-AI Interactions
Authors: Alizadeh, Fatemeh
Stevens, Gunnar
Vereschak, Oleksandra
Bailly, Gilles
Caramiaux, Baptiste
Pins, Dominik
Issue Date: 2022
Publisher: European Society for Socially Embedded Technologies (EUSSET)
metadata.dc.relation.ispartof: Proceedings of 20th European Conference on Computer-Supported Cooperative Work
Series/Report no.: Reports of the European Society for Socially Embedded Technologies: vol. 6, no. 2
Abstract: AI (artificial intelligence) systems are increasingly being used in all aspects of our lives, from mundane routines to sensitive decision-making and even creative tasks. Therefore, an appropriate level of trust is required so that users know when to rely on the system and when to override it. While research has looked extensively at fostering trust in human-AI interactions, the lack of standardized procedures for human-AI trust makes it difficult to interpret results and compare across studies. As a result, the fundamental understanding of trust between humans and AI remains fragmented. This workshop invites researchers to revisit existing approaches and work toward a standardized framework for studying AI trust to answer the open questions: (1) What does trust mean between humans and AI in different contexts? (2) How can we create and convey the calibrated level of trust in interactions with AI? And (3) How can we develop a standardized framework to address new challenges?
metadata.dc.identifier.doi: 10.48340/ecscw2022_ws04
ISSN: 2510-2591
metadata.mci.conference.sessiontitle: Workshop
metadata.mci.conference.location: Coimbra, Portugal 27 June - 1 Juli 2022
Appears in Collections:ECSCW 2022 Panel, Workshops and Masterclasses

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