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

• DOI: 10.3389/frai.2024.1465605
• Publication Date: 2025-02-04T06:32:05Z
• Authors: Fernando Marmolej...; Rebecca Marrone; Malgorzata Korolk...; 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...; Marco Tullio Liuzza; Roberto Giorgini; Omid Khatin-Zadeh; Hassan Banaruee; Asil Ali Özdoğru; Kris Ariyabuddhip...; Wachirawit Rakchai; Natalia Trujillo; Stella Maris Vale...; Armina Janyan; Kiril Kostov; Pedro R. Montoro; Jose Hinojosa; Kelsey Medeiros; Thomas E. Hunt; Julian Posada; Raquel Meister Ko...; Julian Tejada
• Keywords: Distrust

Algorithms are involved in decisions ranging from trivial to significant, but people often express distrust toward them. Research suggests that educational efforts explain how algorithms work may help mitigate this distrust. In a study of 1,921 participants 20 countries, we examined differences algorithmic trust for low-stakes and high-stakes decisions. Our results suggest statistical literacy is negatively associated with situations, while it positively scenarios high algorithm familiarity. However, explainability did not appear influence algorithms. We conclude having enables individuals critically evaluate the made by algorithms, data AI, consider them alongside other factors before making significant life This ensures solely relying on fully capture complexity nuances human behavior decision-making. Therefore, policymakers should promoting statistical/AI address some complexities paves way further research, including triangulation direct observations user interactions or physiological measures assess more accurately.