AI, Compliance, and Trust: Why Ground Truth Matters for Rule-Makers and Rule-Takers

Artificial intelligence (AI) models are only as good as the data they learn from. To make accurate and trustworthy results, AI needs high-quality, well-structured data to a fine-grained level.  Ground truth refers to the definitive, accurate data that serves as a reliable foundation for AI models. By implementing techniques such as retrieval-augmented generation (RAG) and knowledge graphs, you can feed more accurate data into your AI system to give you more accurate results, where AI can cite the sources used. Your data acts as the source of truth to ground the results produced by AI systems.