Measuring the general public artificial intelligence attitudes and literacy: Measurement scales validation by national multistage omnibus survey in Bulgaria

This study examines public attitudes toward artificial intelligence (AI) and self-perceived AI literacy in Bulgaria, using two validated instruments: the General Attitudes toward Artificial Intelligence Scale (GAAIS) and the Meta AI Literacy Scale (MAILS). Administered within a national multistage o...

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Main Authors: Ekaterina Markova, Gabriela Yordanova
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Computers in Human Behavior: Artificial Humans
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Online Access:http://www.sciencedirect.com/science/article/pii/S2949882125000775
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author Ekaterina Markova
Gabriela Yordanova
author_facet Ekaterina Markova
Gabriela Yordanova
author_sort Ekaterina Markova
collection DOAJ
description This study examines public attitudes toward artificial intelligence (AI) and self-perceived AI literacy in Bulgaria, using two validated instruments: the General Attitudes toward Artificial Intelligence Scale (GAAIS) and the Meta AI Literacy Scale (MAILS). Administered within a national multistage omnibus survey (N = 1006), the study represents the first large-scale assessment of AI-related perceptions in an Eastern European context. The research has a dual focus: to test the psychometric performance of both scales in a new linguistic and methodological setting, and to explore how AI attitudes and literacy are distributed across key sociodemographic groups. Both GAAIS and MAILS demonstrate strong internal consistency in the face-to-face survey setting, supporting their applicability beyond online convenience samples. ANOVA and regression analyses reveal that education and age are significant predictors of AI literacy, while positive AI attitudes also vary by gender. In contrast, negative attitudes appear more evenly distributed, reflecting broader societal concerns. The results confirm the conceptual distinction between attitudes and perceived literacy, and demonstrate the benefit of administering the two instruments in parallel. The study offers a multidimensional approach to measuring public AI readiness and contributes a validated framework for future cross-cultural and policy-oriented research.
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spelling doaj-art-b4ae2b3d8cb34162ae84dbddc8c9146a2025-08-20T03:36:42ZengElsevierComputers in Human Behavior: Artificial Humans2949-88212025-08-01510019310.1016/j.chbah.2025.100193Measuring the general public artificial intelligence attitudes and literacy: Measurement scales validation by national multistage omnibus survey in BulgariaEkaterina Markova0Gabriela Yordanova1Corresponding author. Institute of Philosophy and Sociology at the Bulgarian Academy of Sciences, 13A, Moskovska str., 1000, Sofia, Bulgaria.; Institute of Philosophy and Sociology, Bulgarian Academy of Sciences, 13A, Moskovska str., 1000, Sofia, BulgariaInstitute of Philosophy and Sociology, Bulgarian Academy of Sciences, 13A, Moskovska str., 1000, Sofia, BulgariaThis study examines public attitudes toward artificial intelligence (AI) and self-perceived AI literacy in Bulgaria, using two validated instruments: the General Attitudes toward Artificial Intelligence Scale (GAAIS) and the Meta AI Literacy Scale (MAILS). Administered within a national multistage omnibus survey (N = 1006), the study represents the first large-scale assessment of AI-related perceptions in an Eastern European context. The research has a dual focus: to test the psychometric performance of both scales in a new linguistic and methodological setting, and to explore how AI attitudes and literacy are distributed across key sociodemographic groups. Both GAAIS and MAILS demonstrate strong internal consistency in the face-to-face survey setting, supporting their applicability beyond online convenience samples. ANOVA and regression analyses reveal that education and age are significant predictors of AI literacy, while positive AI attitudes also vary by gender. In contrast, negative attitudes appear more evenly distributed, reflecting broader societal concerns. The results confirm the conceptual distinction between attitudes and perceived literacy, and demonstrate the benefit of administering the two instruments in parallel. The study offers a multidimensional approach to measuring public AI readiness and contributes a validated framework for future cross-cultural and policy-oriented research.http://www.sciencedirect.com/science/article/pii/S2949882125000775AI literacyAI public attitudesCross-cultural validationGAAISMAILSSHARE
spellingShingle Ekaterina Markova
Gabriela Yordanova
Measuring the general public artificial intelligence attitudes and literacy: Measurement scales validation by national multistage omnibus survey in Bulgaria
Computers in Human Behavior: Artificial Humans
AI literacy
AI public attitudes
Cross-cultural validation
GAAIS
MAILS
SHARE
title Measuring the general public artificial intelligence attitudes and literacy: Measurement scales validation by national multistage omnibus survey in Bulgaria
title_full Measuring the general public artificial intelligence attitudes and literacy: Measurement scales validation by national multistage omnibus survey in Bulgaria
title_fullStr Measuring the general public artificial intelligence attitudes and literacy: Measurement scales validation by national multistage omnibus survey in Bulgaria
title_full_unstemmed Measuring the general public artificial intelligence attitudes and literacy: Measurement scales validation by national multistage omnibus survey in Bulgaria
title_short Measuring the general public artificial intelligence attitudes and literacy: Measurement scales validation by national multistage omnibus survey in Bulgaria
title_sort measuring the general public artificial intelligence attitudes and literacy measurement scales validation by national multistage omnibus survey in bulgaria
topic AI literacy
AI public attitudes
Cross-cultural validation
GAAIS
MAILS
SHARE
url http://www.sciencedirect.com/science/article/pii/S2949882125000775
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