Assess AI fluency proficiency using 5-level certification criteria (A through E) based on demonstrated capabilities across the 4D Framework dimensions.
AI Fluency Certification provides a structured assessment framework for evaluating AI fluency proficiency. The five levels (A through E) represent progressive mastery across the four dimensions of AI delegation.
Purpose: Provide clear benchmarks for AI fluency development and objective assessment criteria.
Profile: Beginning to use AI tools, learning basic interactions.
Delegation:
Description:
Discernment:
Diligence:
Evidence required:
Profile: Regular AI user, building foundational practices.
Delegation:
Description:
Discernment:
Diligence:
Evidence required:
Profile: Effective AI user with systematic practices.
Delegation:
Description:
Discernment:
Diligence:
Evidence required:
Profile: Advanced AI user, teaches and scales practices.
Delegation:
Description:
Discernment:
Diligence:
Evidence required:
Profile: AI fluency leader, shapes organizational and strategic AI use.
Delegation:
Description:
Discernment:
Diligence:
Evidence required:
| Dimension | E (Emerging) | D (Developing) | C (Competent) | B (Proficient) | A (Advanced) |
|---|---|---|---|---|---|
| Delegation | Basic use | Common cases | Good matching | Expert matching | Strategic |
| Description | Vague prompts | Basic structure | RSFDA specs | Comprehensive | Standards |
| Discernment | Minimal | Spot checks | Systematic | Multi-gate | Designs systems |
| Diligence | Ad-hoc | Some iteration | Regular improvement | Metrics-driven | Organizational |
AI FLUENCY CERTIFICATION ASSESSMENT
Name: _______________ Date: _______________
DIMENSION SCORES (E=1, D=2, C=3, B=4, A=5)
Delegation: ___
- Task selection quality
- Capability matching
- Decomposition skill
Description: ___
- Prompt structure
- Result consistency
- Template development
Discernment: ___
- Verification rigor
- Error detection
- Confidence calibration
Diligence: ___
- Iteration practice
- Learning capture
- Improvement metrics
TOTAL: ___ / 20
EVIDENCE PROVIDED:
□ Prompt portfolio
□ Verification examples
□ Improvement documentation
□ Workflow/template library
□ Teaching/scaling evidence
CERTIFICATION LEVEL: ___
Justification:
[Why this level is appropriate]
Development priorities:
1. [Area to improve]
2. [Area to improve]
| Level | Minimum Evidence |
|---|---|
| E | Regular AI tool use, basic prompts |
| D | 5+ structured prompts, 3+ error corrections |
| C | 10+ templates, verification protocol, improvement log |
| B | Workflow metrics, teaching evidence, org contributions |
| A | Strategy contributions, published frameworks, measurable impact |
Focus areas:
Exercises:
Focus areas:
Exercises:
Focus areas:
Exercises:
Focus areas:
Exercises:
TEAM AI FLUENCY ASSESSMENT
Team: _______________ Date: _______________
Individual Levels:
| Name | Level | Primary Gap |
|------|-------|-------------|
| [Name] | [Level] | [Gap] |
Team Distribution:
- Level A: ____%
- Level B: ____%
- Level C: ____%
- Level D: ____%
- Level E: ____%
Team Composite Level: ___
Key Gaps:
1. [Gap]
2. [Gap]
Development Plan:
1. [Action]
2. [Action]
| Maturity | Description | Team Composition |
|---|---|---|
| Initial | Ad-hoc AI use | Mostly E/D |
| Developing | Building practices | Mix D/C |
| Defined | Systematic practices | Mostly C |
| Managed | Metrics and improvement | Mix C/B |
| Optimizing | Strategic AI integration | Significant B/A |
Certification System Proficiency When: