MAILS - Meta AI Literacy Scale (short version).

MAILS-S

What it measures

Self-reported AI literacy + psychological AI competencies. Subscales: AI Literacy (Detect / Apply / Understand / Ethics), Create AI, AI Self-Efficacy (Learning, AI Problem-Solving), AI Self-Competency (Persuasion Literacy, Emotion Regulation).

Length and format

10 (short form; parent MAILS = 34 items). 0-10 self-rating (11-point) (self-report questionnaire)

Language versions

EN and DE official; local-only draft translations (SR-Latin, HR, BS, NL, FR, ES, PT) in the AI-Literacy-Measurement project - draft, not validated.

Normative data

No normative data held in our reference library for this instrument. That is a statement about our library, not about the published literature.

Licence

open with attribution

Licence classification is a research judgement by the catalogue’s authors, not legal advice, and it can be out of date. Confirm terms with the copyright holder or publisher before using an instrument, especially for commercial use.

Reference

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). Parent: Carolus, A., et al. (2023). Computers in Human Behavior: Artificial Humans, 1(2), 100014.