Presentation of a real-world result from the work context.
Active Selection: Decision-Making Authority; Level 1 · Awareness.
Specialized System · Applied Intelligence Lab
CONEXXUS® AIQ
Decision-making authority in matters involving artificial intelligence.
tool-agnosticpractice-basedResponsibility remains with people
Not just a tool concept. A model for responsible decision-making.
CONEXXUS® AIQ is a model developed by Ronny Paulusch to describe and assess decision-making competence in the context of artificial intelligence. It is intended for the skilled trades, the food industry, the education sector, and organizations where AI is increasingly being used but where responsibility for decisions remains with humans.
AIQ is neither a tool concept nor a technology, but rather a systematic approach to classifying, applying, and documenting responsible decisions: AI can accelerate processes, human responsibility remains the central authority, and the quality of decisions becomes transparent.
Where Craftsmanship Meets the Future
"When your fingers smell of oil and your minds are set on routine, artificial intelligence often seems far removed from reality. But the world is changing."
Unclear Responsibilities for AI-Generated Results.
Conventional training programs focus on tool operation rather than the quality of results.
Objective guidelines and verifiability are becoming essential for businesses.
AI is used in planning, analysis, communication, and knowledge processing. The goal of CONEXXUS® AIQ is to integrate AI into real-world operational practices while preserving professional autonomy.
AIQ Application Field
Three areas of expertise. One sphere of responsibility.
Make the decision
visible
visible
AIQ
Decision-making authority
Well-reasoned decisions make the purpose, scope, AI involvement, and technical rationale clear.
AIQ complements IQ and EQ in situations where AI generates content, provides options, or prepares decisions. The sphere of influence arises at their intersection.
Documentation of the AI support used.
Technical validation and correction of the AI output.
Brief explanation of the decision made to ensure sound judgment.
What CONEXXUS® AIQ Actually Does
The focus is shifting from output to decision-making.
Traditional View
- Focus on Tools
- Output is what counts
- Usage remains implicit
Not: Was AI used? But rather: How was the decision made?
- Conscious use rather than automatic adoption
- Transparent labeling of AI components
- clear and understandable justification for decisions
- Clear definition of purpose, scope, and responsibilities
- Practical proof rather than formal certificates
AIQ is tool-agnostic and independent of individual vendors or technologies.
Traditional Training
Operational skills, theory, certification, and product knowledge are often the main focus.
Delimitation
AIQ is not a traditional AI training program. It is not about using tools, programming, or technical depth, but rather about decision-making quality, taking responsibility, transparency, and sustainable skill development. AIQ complements existing professional development programs; it does not replace them.
Responsible AI Briefing
Five stages ranging from understanding to application, reflection, and demonstration.
Level 1 · Awareness
Thoughtful Use of AIDevelop an awareness of opportunities, biases, and hallucinations, and transparently label AI-generated content. This level provides guidance, not automatic legal compliance.
Level 1 · Awareness
Thoughtful Use of AIDevelop an awareness of opportunities, biases, and hallucinations, and transparently label AI-generated content. This level provides guidance, not automatic legal compliance.
Level 2 · Exploration
Conscious ApplicationWork with variables in a targeted manner, perform cross-checks, and justify decisions based on technical expertise. Controllability remains a practical task, not a technical promise.
Level 3 · Integration
Structured ProcessesDesign, review, and revision are integrated into workflows as a quality loop. Reliability is achieved through responsible practice.
Level 4 · Application
Complex ApplicationComplex workflows are designed, and professional and ethical boundaries are explicitly considered.
Level 5 · Mastery
Core CompetencySet standards, take responsibility, and share knowledge through leadership and coaching roles.
EU Classification and Verification Logic
Practical placement without a promise of a degree.
CONEXXUS® AIQ is aligned with the requirements of the EU AI Regulation, particularly regarding AI literacy. The approach focuses on practical implementation without claiming to provide government certifications or awarding formal titles.
The deliberately streamlined structure emphasizes real-world work contexts rather than exam questions, transparent documentation rather than formal tests, clear formats for demonstrating learning with increasing depth, and brief justifications for decisions rather than theoretical treatises.
The model is presented in the book *Didactics in the Trades—New Insights from Harvard—The New DNA of Teaching *. It is not derived from the book; the publication serves solely as a resource for further study and as a reference. The book is not a prerequisite for applying the model.
For whom and in what format
AIQ is a framework within the CONEXXUS® system—not an automatically awarded certification.
Skilled TradesFood IndustryEducationOrganizations with a Sense of Responsibility
CONEXXUS® AIQ stands as a standalone framework alongside existing systems and models. Specific training programs and courses are derived from it and are intentionally designed to come later in the process. Artificial intelligence can provide speed. Responsibility arises from decision-making. AIQ makes this decision visible.