AI Literacy vs Fluency?
AI fluency is not the same as AI literacy,
yet literacy is a prerequisite to fluency.
AI LITERACY
-
Knowing what AI is & isn't
-
Understanding AI's capabilities & limitations within your tools of choice and more broadly
-
Foundations of AI use, e.g. tool usage and prompting skills
AI FLUENCY
-
Decisions about what work to delegate to AI
-
Building environments where AI performs consistently
-
How to evaluate whether automation or augmentation is best suited to a task
7 Dimensions of AI Fluency
AI LITERACY
How AI systems actually work — what drives model behaviour, why errors happen, what it means to work with probabilistic systems and what that means for how you use them. Including literacy of how your platform and tools of choice work under the hood
DELEGATION INTELLIGENCE
The judgment to know what to hand to AI, what to keep human, and why. The hardest dimension to develop and the one that matters most.
COMMUNICATION & CONTEXT
How you build the conditions for effective AI collaboration — before sessions, during them, and across them over time.
DISCERNMENT & REFLECTION
Evaluating AI output critically before acting on it, and monitoring whether your AI practice is building your capabilities or quietly replacing them.
STRATEGIC JUDGMENT
Making principled decisions about when and how to use AI — at the task, workflow, and career level — in ways that hold up as tools change.
Bridging Dimensions
These dimensions describe the human substrate that makes the other five work. The are baked within the five dimensions in your final score.
COGNITIVE CLARITY & SME
The human knowledge and clear thinking that makes AI collaboration valuable — the irreplaceable substrate that AI augments rather than replaces.
MULTI-SCALE VISION
The ability to deliberately adjust your "optical zoom," moving fluidly between the broad landscape of high-level strategy and the microscopic details of granular execution.