Factors influencing trust in algorithmic decision-making: an indirect scenario-based experiment

Factors influencing trust in algorithmic decision-making: an indirect scenario-based experiment

Algorithms are involved in decisions ranging from trivial to significant, but people often express distrust toward them. Research suggests that educational efforts to explain how algorithms work may help mitigate this distrust. In a study of 1,921 participants from 20 countries, we examined differen...

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Bibliographic Details
Main Authors: Fernando Marmolejo-Ramos, Rebecca Marrone, Malgorzata Korolkiewicz, Florence Gabriel, George Siemens, Srecko Joksimovic, Yuki Yamada, Yuki Mori, Talal Rahwan, Maria Sahakyan, Belona Sonna, Assylbek Meirmanov, Aidos Bolatov, Bidisha Som, Izuchukwu Ndukaihe, Nwadiogo C. Arinze, Josef Kundrát, Lenka Skanderová, Van-Giang Ngo, Giang Nguyen, Michelle Lacia, Chun-Chia Kung, Meiselina Irmayanti, Abdul Muktadir, Fransiska Timoria Samosir, Marco Tullio Liuzza, Roberto Giorgini, Omid Khatin-Zadeh, Hassan Banaruee, Asil Ali Özdoğru, Kris Ariyabuddhiphongs, Wachirawit Rakchai, Natalia Trujillo, Stella Maris Valencia, Armina Janyan, Kiril Kostov, Pedro R. Montoro, Jose Hinojosa, Kelsey Medeiros, Thomas E. Hunt, Julian Posada, Raquel Meister Ko Freitag, Julian Tejada
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Artificial Intelligence
Subjects:
algorithms
data
AI
trust
statistical literacy
explainability
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2024.1465605/full

Internet

https://www.frontiersin.org/articles/10.3389/frai.2024.1465605/full

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