Unlock Your
Cognitive Potential
Zeranum AI Cognitive Research Center integrates research, cognitive readiness assessment, and specialized education in human-AI interaction.
Pioneering the Future of Cognitive Science
At Zeranum AI Cognitive Research Center, our focus is the relationship between human cognition and artificial intelligence: how people evaluate AI outputs, exercise judgment, and design specialized systems for professional use.
CARI (Cognitive AI Readiness Index) represents a structured cognitive assessment framework developed to provide a comprehensive view of strengths, vulnerabilities, and developmental potential in human-AI interaction.
AI Cognitive Research CenterComprehensive Cognitive Solutions
We offer a range of services designed to assess, understand, and enhance cognitive performance across various domains.
CARI Assessment
Explore cognitive readiness for human-AI interaction through CARI: AI Understanding, Meta-Verification, Trust Calibration, Ethical Resilience, and Strategic Use.
Take CARI Assessment →Dimensional Profile Analysis
Analyze cognitive strengths and vulnerabilities across five domains to understand behavioral patterns in AI-supported environments.
AI Cognitive Master Course
Develop a specialized cognitive AI system through five sequential courses covering conceptual design, architecture, construction, validation, and governance.
Explore the Master Course →Research & Institutional Applications
Apply CARI in research, training programs, and organizational settings to study and improve human-AI interaction at scale.
Featured Assessment
CARI Assessment
CARI is a multidimensional assessment instrument designed to evaluate cognitive readiness for human-AI interaction across five domains: AI Understanding, Meta-Verification, Trust Calibration, Ethical Resilience, and Strategic Use.
The instrument uses a structured Likert-based response model and a multidimensional scoring algorithm to generate a composite readiness index and a detailed dimensional profile.
No personal data required. Anonymous assessment.
Education
AI Cognitive Master Course
Developing Cognitive AI Models for Human Behavior Professionals
Desarrollo de Modelos de IA Cognitiva para Profesionales en Comportamiento Humano.
Develop, test, and document a specialized cognitive AI system for a defined human behavior problem. Each course builds on the previous deliverable, progressing from a model concept to a functional system with a controlled deployment and maintenance plan.
Who this program is for
Professionals and advanced students in psychology, counseling, psychotherapy, cognitive science, mental health, neuropsychology, clinical social work, and behavioral research. Development activities may use no-code or low-code environments according to the project.
Course 1 · Week 1 · 10 hours
Foundations of Cognitive AI Applied to Human Behavior
Define the professional problem, system purpose, users, behavioral variables, inputs, outputs, boundaries, and human oversight.
Deliverable: Model Concept Document
Course 2 · Week 2 · 10 hours
Behavioral Knowledge Modeling and Cognitive Architecture
Organize professional knowledge and design retrieval, RAG, memory, context, rules, and the cognitive workflow.
Deliverable: Cognitive Architecture Blueprint
Course 3 · Week 3 · 10 hours
Building the Cognitive AI Model
Configure a foundation model and integrate instructions, specialized knowledge, rules, interaction flows, and memory where required.
Deliverable: Functional Cognitive AI Prototype
Course 4 · Week 4 · 10 hours
Testing and Validation of Cognitive AI Models
Build test cases and assess accuracy, consistency, hallucinations, bias, safety, and compliance with professional boundaries.
Deliverable: Cognitive AI Validation Report
Course 5 · Week 5 · 10 hours
Deployment, Governance, and Maintenance
Prepare controlled deployment, version management, monitoring, incident handling, knowledge updates, and revalidation.
Deliverable: Professional Cognitive AI Model + Deployment & Maintenance Plan
Learning and assessment
Guided laboratories and applied assignments contribute to one cumulative project. Courses 1–4 allocate 60% to applied activities and 40% to the course project. Course 5 evaluates governance, monitoring, maintenance, documentation, and the final model.
Specialized professional education. This Master Course is not an academic master's degree. Contact the center for availability and enrollment details.
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