Framework Alignment

The U.S. Department of Labor Defined
What AI Literacy Means for Every Worker.
AISA Already Measures All of It.

TEN 07-25 establishes the federal government's AI Literacy Framework — the official definition of what every American worker needs to know about AI. AISA's assessment covers 100% of its competencies, and goes deeper in every area.

Sub-Competency Coverage

Every skill the DOL says workers need — mapped to how AISA measures it

25/25
DOL sub-competencies covered by AISA's existing framework
5 content areas · 25 sub-competencies · all mapped to AISA's 11 criteria
5/5
Content areas
fully covered
11
AISA criteria
scoring each 1–10
7/7
Delivery principles
embodied

Area-by-Area Cross-Reference

How each DOL content area maps to AISA's criteria — and where AISA goes deeper

DOL Content Area Sub-competencies AISA Criteria Coverage Where AISA Goes Deeper
1. Understand AI Principles Pattern recognition, capabilities, training & inference, hallucinations, human oversight U1 AI Fundamentals
T2 Limitation Awareness		 5/5 DOL wants workers to understand concepts. AISA scores from "complete black box" (1) to "system-level fluency in training, inference, fine-tuning" (10). T2 adds predicting failure from AI architecture principles.
2. Explore AI Uses Productivity tools, information support, creative assistance, task-specific apps, decision-support W1 Workflow
W2 Decomposition
W3 Domain App
U2 Tool Landscape		 5/5 DOL treats this as one area. AISA splits it into 4 criteria — workflow depth (W1), how work is decomposed for AI (W2), domain-specific creativity (W3), and ecosystem awareness (U2). Each scored independently.
3. Direct AI Effectively Contextual framing, prompting techniques, supplying data, iterating, avoiding vague prompts P1 Prompt Design
P2 Iteration
P3 Context & Memory		 5/5 DOL lists iteration as 1 of 5 sub-skills. AISA treats it as a standalone top-priority criterion — validated by Anthropic's research showing iteration is a 2× fluency multiplier. P3 goes to persistent memory layers and reusable context architectures.
4. Evaluate AI Outputs Factual accuracy, completeness, logical errors, strategic alignment, human judgment T1 Output Evaluation
T2 Limitation Awareness		 5/5 DOL asks "can they evaluate?" AISA scores how — from "trusts AI at face value" (1) to "verification baked into architecture with automated checks and human-in-the-loop gates" (10). Plus T2 for predicting failure proactively.
5. Use AI Responsibly Sensitive data, workplace policies, misuse prevention, context-specific risk, accountability S1 Safety & Responsibility 5/5 DOL covers compliance-level awareness. AISA scores from "no awareness of risks" (1) to "shapes AI policy for others; reasons about systemic risks — bias, displacement, consent" (10). Includes the 6→7 boundary: going beyond personal caution to considering impact on others.

Where AISA Goes Beyond the Framework

Skills AISA measures that DOL doesn't isolate as separate competencies

P2
Iteration as a Standalone Skill
DOL buries iteration as 1 of 5 prompting sub-skills. AISA treats it as a top-priority criterion — because Anthropic's 10,000-conversation study proved it's the single strongest predictor of AI fluency (2× multiplier).
W2
Task Decomposition
Not named in the DOL framework at all. How someone breaks a problem into AI-suitable vs human-judgment pieces is a core workflow competency that separates a Tactician from a Conductor.
P3
Context Architecture Depth
DOL says "supplying relevant input data." AISA's P3 goes from ad-hoc pasting (3-4) to multi-conversation workflows, persistent memory layers, and reusable system prompts (9-10). A fundamentally different scale of ambition.
1–10
Calibrated Proficiency Depth
DOL defines binary competencies — can you do X? AISA scores a 10-point rubric per criterion, calibrated by a separate full-transcript review pass. The difference between "checks sometimes" (3) and "architectural verification gates" (10) is 7 levels of granularity DOL doesn't reach.

DOL's 7 Delivery Principles — Already in AISA's DNA

The DOL describes how AI literacy should be taught. AISA's methodology already embodies every principle.

Principle 1
Experiential Learning
DOL: "hands-on use, interactive prompt exercises, progressive difficulty." AISA: live conversation + 7 games + 6 show-and-tell exercises + adaptive difficulty bands.
Principle 2
Embed in Context
DOL: "industry-specific examples." AISA: Persona Adaptation — Aisa adapts framing per role (developer, PM, designer, data scientist). W3 scores domain-specific application.
Principle 3
Complementary Human Skills
DOL: "critical thinking, creativity, communication." AISA: T1 + T2 (Critical Thinking) = 22% of composite score. Human judgment is assessed, not assumed.
Principle 4
Address Prerequisites
DOL: "evaluate baseline readiness, acknowledge different starting points." AISA: Adaptive Depth — automatically calibrates question complexity from turn 2. Same rubric, different entry points.
Principle 5
Pathways for Continued Learning
DOL: "advance to AI proficiency, stackable learning models." AISA: AI Coach delivers personalised daily lessons via WhatsApp, built from each candidate's assessment gaps.
Principle 6
Prepare Enabling Roles
DOL: "manager upskilling, HR and L&D alignment." AISA: B2B offering targets L&D leaders and HR with team analytics and org-level AI readiness data.
Principle 7
Design for Agility
DOL: "continuous content updates, responsive use case selection." AISA: AI Landscape system runs weekly automated snapshots of current AI models and tools, injected into every assessment. The rubric stays current without manual curriculum updates — exactly the "built-in mechanisms for adaptation" DOL calls for.

The Framework Defines the Standard. The Assessment Measures It.

DOL tells employers what AI literacy is. AISA tells them whether their workers have it.

TEN 07-25 was sent to every state workforce board, every American Job Center, and every community college in America. It defines what AI literacy means. But defining competencies and measuring them are two different things. AISA provides the measurement layer — a conversational AI assessment that covers every DOL competency and scores each one on a calibrated 1–10 rubric with dual-track AI evaluation and an full-transcript calibration pass by a more capable model.

DOL Framework
  • Defines competency areas
  • Voluntary guidance for program design
  • 5 content areas, 25 sub-competencies
  • Binary: does the program cover X?
  • Delivered to every workforce system
  • Acknowledges need for "levels of proficiency"
AISA Assessment
  • Measures individual proficiency
  • Active conversational assessment
  • 11 criteria, each scored 1–10
  • Granular: how well can this person do X?
  • Available to any employer or worker
  • 10 personas + 5 tier levels = proficiency defined

Two Independent Validations. One Assessment.

Academic research and federal policy both confirm AISA measures the right skills

Anthropic AI Fluency Index
  • 9,830 conversations analysed
  • 93% of observable behaviours covered
  • Confirmed iteration as #1 signal
  • Identified 4 AISA-exclusive criteria
  • Academic/empirical validation
DOL AI Literacy Framework
  • Federal government definition
  • 100% of sub-competencies covered
  • All 7 delivery principles embodied
  • Sent to every workforce system in America
  • Regulatory/policy validation

What This Means for Employers

Every employer in America just received guidance on what AI literacy means for their workforce. AISA is the assessment that measures whether your team has it — covering 100% of the DOL's framework, scoring each competency on a calibrated rubric, and providing actionable reports that show exactly where to invest in training.

The framework defines the standard. AISA measures it.

Independence note: AISA was designed and built independently, before the publication of the DOL's AI Literacy Framework. The U.S. Department of Labor does not own, endorse, accredit, or directly contribute to AISA. TEN 07-25 and the attached AI Literacy Framework are publicly available government guidance. This comparison is our own analysis of how our pre-existing assessment framework aligns with the DOL's published competency areas.
Source: Training and Employment Notice No. 07-25, U.S. Department of Labor (Feb 13, 2026)
Attachment I: The Department of Labor's Artificial Intelligence Literacy Framework
AISA AI Skills Assessment · 11 criteria · 5 dimensions · aisa.to