AI familiarity levels among participants.

<div><p>As artificial intelligence (AI) systems become increasingly integrated into decision-making across various sectors, understanding public trust in these systems is more crucial than ever. This study presents a quantitative analysis of survey data from 335 participants to examine h...

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Bibliographic Details
Main Author:	Abdullah A. Alasmari (22566815) (author)
Other Authors:	Reshaa F. Alruwaili (22455719) (author), Rasmiah F. Alotaibi (22566818) (author), Ismail K. Youssef (22566821) (author), Somia A. Asklany (22566824) (author)
Published:	2025
Subjects:	Neuroscience Biotechnology Science Policy Mental Health though less pronounced recommend designing adaptive experience enhance confidence enhancing public education distinct patterns emerging understanding public trust age contributes significantly trust toward ai centered ai systems aware trust ai systems ai capabilities xlink "> technically sound task type survey data study presents strong predictors results underscore reduce skepticism quantitative analysis memory recall frequent use effective integration demographic influences demographic factors complex problem cognitive tasks building strategies artificial intelligence also observed 335 participants
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AI familiarity levels among participants.

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