~7 minutes, Würzburg University research
How AI-literate are you, really?
In the studies, self-ratings barely matched scores. Guess yours, then find out.
- Free
- No signup
- Anonymous
What you'll find out
- Your score against 2,131 adults
- Percentile and band from the published norm tables.
- Your guess vs. your score
- You predict your result before the first question. Afterwards you see the gap.
- One of nine archetypes
- Where you stand, crossed with how well you judged it.
Where this test comes from
This is the AI Competency Objective Scale (AICOS) and its short form AICOS-S, developed and validated by André Markus, Astrid Carolus and Carolin Wienrich at Julius-Maximilians-Universität Würzburg.
Both papers are open access under CC BY 4.0, and the questions are used with attribution. The English wording is the authors' own translation; for four questions we realigned the English with the validated German where the meaning had drifted.
The norms come from German-speaking adults recruited via Prolific (N = 2,131). For other populations, and for the English wording, results are approximate.
The self-rating questions are the short Meta AI Literacy Scale (MAILS).
Papers
- Markus, A., Carolus, A., & Wienrich, C. (2025). Objective measurement of AI literacy: Development and validation of the AI Competency Objective Scale (AICOS). Computers and Education: Artificial Intelligence, 9, 100485. https://doi.org/10.1016/j.caeai.2025.100485
- Markus, A., Carolus, A., & Wienrich, C. (2026). How to measure AI literacy (fast): Development and norming of the AI competence objective scale short version (AICOS-S). Computers in Human Behavior: Artificial Humans, 8, 100298. https://doi.org/10.1016/j.chbah.2026.100298
- Koch, M. J., Carolus, A., Wienrich, C., & Latoschik, M. E. (2024). Meta AI literacy scale: Further validation and development of a short version. Heliyon, 10(21), e39686. https://doi.org/10.1016/j.heliyon.2024.e39686
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