If you want to know the current state of practice, I created an Open-Edit List of all (90+ so far) the higher education microcredentials, certificates, programs and badges that Claude could find. Please correct and add yours there. So far, AI Literacy is limited to 3-4 hours of self-paced, optional online modules at most US institutions. There are some examples on the Resources page.
There are now many existing AI Literacy frameworks:
- Opened Culture Dimensions of AI Literacies includes a large set of examples.
- Stanford AI Literacy Framework
- Digital Education Council AI Literacy Framework
- Barnard College AI Literacy Framework
- Open University’s Critical AI Literacy Framework
- UNESCO AI Competency Framework for Students
- Nick Potkalitsky has his Six Territories for Disciplinary AI Literacy
- The U.S. Department of Labor’s Artificial Intelligence Literacy Framework
There is also this AI Fluency framework developed by Rick Dakan (Ringling College of Art and Design) and Joseph Feller (University College Cork):
Those who like the term fluency see it as including both practical and responsible use and suggest that literacy is more limited.
There is also this ETHICAL framework from California State University Fullerton
We’ve been experimenting with this:
Critical Thinking as Tennis = Mastering Both Sides of the Net
🎾 Serving: ASKING BETTER QUESTIONS
🎾 Returning: EVALUATING ANSWERS
E – Errors & Accuracy
- Is this facutally correct?
- What biases might be hidden here? (cultural, gender, political, linguistic)
- Red flags: Overly confident claims, missing nuance, stereotypes
X – eXamine Evidence
- Where did this information come from?
- Are citations accurate? (AI often hallucinates sources)
- Essential Habit: Be skeptical and verify.
A – Alignment & Relevance
- Does this actually solve my problem?
- Do I need more focus, depth or nuance?
- The “So What?” test: Does this matter for my real goal?
M – More & Modify
- How can I improve, clarify or expand this?
- What perspective is missing? Can I get something more unexpected?
- Growth mindset: “This is a starting point, not an endpoint”
T – Task Appropriateness
- Human or AI? Will AI add value or just replace thinking?
- Teaching moment: Justify your choice
A – Aim & Goals
- Am I trying to produce something or learn something?
- Will AI help my learning/thinking/creativity or short-circuit it?
- The Push-up Test: “Will this make me stronger or just save effort?”
S – Setup & Specificity
- What context, constraints, or clarifications does AI need?
- What might go wrong without better instructions?
- Teaching tip: Try both vague and specific prompts
K – Collaborate & Co-create
- Advanced move: “AI, help me improve this prompt…”
- How can I work WITH AI rather than just using it?
- How might I use AI to surpass my own abilities?