Functional analogies increase trust in black-box AI systems among lay consumers : the case of GeNose C-19

Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/99049

Title:	Functional analogies increase trust in black-box AI systems among lay consumers : the case of GeNose C-19
Authors:	Degefe, ED Prabowo, YD Savani, K Sheetal, A
Issue Date:	May-2023
Source:	Computer, May 2023, v. 56, no. 5, p. 74-83
Abstract:	We present a case study of a black-box artificial intelligence-based COVID-19 detection product, GeNose C-19, developed by the Indonesian government. We find that explaining how GeNose works using functional analogies increases both Indonesian and American lay consumers' trust in GeNose.
Publisher:	Institute of Electrical and Electronics Engineers
Journal:	Computer
ISSN:	0018-9162
EISSN:	1558-0814
DOI:	10.1109/MC.2023.3235880
Rights:	© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication Degefe, E. D., Prabowo, Y. D., Savani, K., & Sheetal, A. (2023). Functional Analogies Increase Trust in Black-Box AI Systems Among Lay Consumers: The Case of GeNose C-19. Computer, 56(5), 74-83 is available at https://doi.org/10.1109/MC.2023.3235880.
Appears in Collections:	Journal/Magazine Article

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