The Language of Artificial Intelligence
Lexicon curates the terminology innovation teams need to navigate AI governance, responsible deployment, and emerging regulatory frameworks.
This knowledge graph maps the essential terminology of machine learning and artificial intelligence, designed to help people understand and engage with the most important technology of our lifetimes. We focus on creating comprehensive and accurate definitions that bridge the gap between technical complexity and accessible understanding. By building a living vocabulary that evolves with the field, we aim to democratize AI literacy and enable meaningful participation in conversations about artificial intelligence.
This resource is free and open-access, ensuring it reaches students, professionals, policymakers, educators, and anyone seeking to advance their technological literacy. Lexicon goes beyond simple definitions by creating a semantic knowledge graph that reveals relationships between concepts, helping users navigate from basics to advanced topics. This interconnected approach demonstrates that understanding AI requires more than isolated definitions; it demands seeing how concepts relate, evolve, and converge across the field.
Our Work
- Developed an interactive AI-powered knowledge graph for machine learning and AI terminology.
- Features comprehensive definitions created with GPT-4o following a predefined style guide for accuracy and consistency.
- Enhanced user experience with AI-generated images created with FLUX 1.1 Pro, providing visual context for each concept.
- Semantic mapping using TF-IDF vectorization and cosine similarity to identify relationships between terms.
- Metadata enrichment including generality scores, estimated first citations, and intersimilarity metrics.
- Ongoing research with periodic updates as the field evolves.
Impact
- Provides learners and professionals with a structured path to build conceptual knowledge from basics to advanced topics.
- Free and open-access, enabling students, educators, decision-makers, and citizens to engage critically with AI developments.
- Knowledge graph visualization creates an experimental but fully functional semantic map of the entire corpus, revealing hidden connections.
- Supports technological literacy and professional development in a rapidly evolving field.
- Fact-checked content validated through custom GPTs to minimize hallucinations and ensure accuracy.
- Material supports STEM education and helps organizations communicate complex technology concepts with clarity.