Assessment card · QLM category creation

AI Fluency Assessment Card

AI fluency should be measured by how people use AI in context, not by tool familiarity alone.

Research brief

Assessment purpose

AI fluency assessment measures whether a person can use AI responsibly and effectively in realistic work or learning tasks.

Evidence signals

Signals include problem framing, prompt iteration, source checking, uncertainty handling, escalation, and explanation quality.

Validity questions

Teams should define the role context, acceptable AI use, risk threshold, and transfer task before using results for decisions.

Published by Quantum Learning Machines · 2026-06-02

Related QLM paths

Keep building the category map.

Enterprise use caseEnterprise AI ReadinessQLM provides AI readiness assessment through role-aligned tasks, simulation evidence, and living skills profiles.ResearchMeasuring AI FluencyA QLM research brief on why AI fluency should be measured through realistic tasks, verification behavior, and transfer.GlossaryAI Readiness AssessmentAI readiness assessment measures whether people can use AI responsibly and effectively in role-specific work.

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Use this path when you want a pilot, research partnership, or product walkthrough.

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