AI Literacy Scale for Non-Experts (SNAIL)
Technical understanding Critical appraisal Practical application
Technical understanding Critical appraisal Practical application
Recognizing AI Interdisciplinarity Understanding intelligence General vs. narrow AI’s strengths & weaknesses Representations Decision-making ML steps Human role in AI Programmability Data literacy Learning from data Critically interpreting data Ethics
Use & apply AI Know & understand AI Detect AI AI ethics
General AI literacy and 4 sub-constructs: Use & apply AI Know & understand AI Detect AI AI ethics
Recognizing AI Interdisciplinarity Understanding intelligence General vs. narrow AI strengths & weaknesses Representations Decision-making ML steps Human role in AI Programmability Data literacy Learning from data Critically interpreting data Ethics