Functional Analogies Increase Trust in Black-Box AI Systems Among Lay Consumers: The Case of GeNose C-19

Elizabeth Demissie Degefe; Yulius Denny Prabowo; Krishna Savani; Abhishek Sheetal

doi:10.1109/MC.2023.3235880

Functional Analogies Increase Trust in Black-Box AI Systems Among Lay Consumers: The Case of GeNose C-19

Elizabeth Demissie Degefe
, Yulius Denny Prabowo
, Krishna Savani
, Abhishek Sheetal

Research output: Publication in policy / professional / specialist journal › Article (for policy / professional audience) › Academic research › peer-review

1 Citation (Scopus)

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.

Original language	English
Pages	74-83
Number of pages	10
Volume	56
No.	5
Specialist publication	Computer
DOIs	https://doi.org/10.1109/MC.2023.3235880
Publication status	Published - 1 May 2023

ASJC Scopus subject areas

General Computer Science

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10.1109/MC.2023.3235880

http://hdl.handle.net/10397/99049

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Functional Analogies Increase Trust in Black-Box AI Systems Among Lay Consumers: The Case of GeNose C-19. / Degefe, Elizabeth Demissie; Prabowo, Yulius Denny; Savani, Krishna et al.
In: Computer, Vol. 56, No. 5, 01.05.2023, p. 74-83.

Research output: Publication in policy / professional / specialist journal › Article (for policy / professional audience) › Academic research › peer-review

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Functional Analogies Increase Trust in Black-Box AI Systems Among Lay Consumers: The Case of GeNose C-19

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ASJC Scopus subject areas

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