Permanent record · RIR–2077
Assessing Artificial Intelligence Literacy: Development and Validation of the SAIL4ALL Psychometric Scale
The study introduces and validates the SAIL4ALL scale, a comprehensive tool for measuring AI literacy across diverse adult populations.
How can AI literacy be reliably measured and assessed across diverse adult populations?
Knowledge gap
What remains worth asking
Standardized, psychometrically validated tools for measuring AI literacy across different demographics are currently lacking.
Potential contribution
Why it may matter
Provides a foundational instrument for evaluating the effectiveness of AI literacy initiatives in various sectors.
Academic placement
OECD fields and topic tags
Scope: Adult population AI literacy assessment. · Method signals: Psychometric Validation, Confirmatory Factor Analysis
Possible study pathways
One question, different levels
Designing organizational AI literacy training programs.
Strategic assessment of AI readiness and workforce skill gaps.
Exploring the socio-technical implications of AI literacy on societal equity.
Qualification signal
91/100
- High practical utility for policy makers.
- Robust psychometric methodology.
- Open-access scholarly source and DOI metadata verified
Provenance
Research Idea Registry curation
- DOI and bibliographic metadata independently resolved
- Open-access status verified
- The research direction is transparently marked as AI-inferred
APA 7 source
Soto-Sanfiel, M. T., Angulo-Brunet, A., & Lutz, C. (2025). The scale of artificial intelligence literacy for all (SAIL4ALL): assessing knowledge of artificial intelligence in all adult populations. Humanities and Social Sciences Communications, 12(1), Article 1618. https://doi.org/10.1057/s41599-025-05978-3
Paper abstract and discussion context; AI-inferred direction
Open source ↗