The AI Literacy Assessment Test (AILAT), developed by V—AI Innovation Lab and Venture Studio, is an adaptive diagnostic system designed to evaluate and measure individuals' AI literacy across across four key dimensions:
- Conceptual Knowledge: Understanding of AI fundamentals, terminology, capabilities, and limitations
- Use & Apply Knowledge: Practical skills in effectively using AI tools
- Evaluate & Create Knowledge: Ability to critically assess AI outputs and create solutions
- Ethics Knowledge: Understanding of responsible AI practices and implications
Utilizing Item Response Theory (IRT), specifically a 2-Parameter Logistic (2PL) model, AILAT dynamically adjusts questions based on real-time user performance to ensure precise, personalized assessment experiences.
- Adaptive testing using Item Response Theory
- Industry-contextualized question selection
- Dynamic difficulty adjustment based on user performance
- Three-phase assessment structure (Calibration, Adaptive, Scenario)
- LLM-based evaluation of open-ended responses
- Personalized learning recommendations
- Organization-level analytics and insights
- Technical White Paper - Detailed explanation of the framework's theoretical foundations and implementation
- API Reference - Complete API documentation for integrating with the assessment platform
- Web Application - Access the assessment platform directly
This repository contains documentation for API version v1.
For contributions, issues, or enhancements, please contact our team at support@ailat.v.ee.
V is an Estonia-based AI innovation lab and venture studio that transforms bold ideas into intelligent systems, breakthrough products, and scalable companies. V merges advanced research with venture creation to shape the future of intelligence.
Learn more at https://v.ee
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AILAT is continuously evolving based on ongoing research, community input, and advancements in AI literacy methodologies.