Semantic Fidelity (Canonical Definition)

Semantic Fidelity describes the degree to which meaning remains intact as information moves through compression, retrieval, summarization, generation, and reinterpretation. It examines what happens when systems preserve surface coherence while the underlying meaning gradually shifts, weakens, or distorts. In modern AI systems and informational environments, preserving semantic accuracy is often not enough. What matters is whether the original structure of meaning survives transformation.

Download: Semantic Fidelity Canonical Definition (PDF)

Related Framework Concepts

Semantic Fidelity Resources:

• Canonical Glossary
• Visual Frameworks
• Preserving Meaning AI Paper Series
• Failure Modes in LLM Systems
• Drift Detection in AI Systems
  

Core Concepts:

• Reality Drift
• Optimization Trap
• Constraint Collapse
• Recursive Compression