Semantic Fidelity Core Series: Meaning, Compression, Constraint, and Alignment
These papers examine how meaning is preserved, distorted, and degraded as language is compressed, generated, retrieved, and transformed by artificial intelligence. They introduce semantic fidelity as a foundational concept for evaluating alignment, trust, and communicative integrity in generative systems, establishing a framework for understanding how compression, recursion, scale, and system design shape the preservation or erosion of meaning across human and machine intelligence.
- What Is Semantic Fidelity? Preserving Meaning in the Age of Artificial Intelligence (PDF)
Introduces semantic fidelity as the preservation of intent, nuance, and communicative purpose across transformations of language.
- When Accuracy Isn’t Enough: Semantic Fidelity in AI Systems (PDF)
Explains why correctness alone is insufficient for AI alignment and establishes fidelity as the missing dimension in evaluating generative systems. - The Compression Paradox in AI: Why Meaning Breaks Before Models Hallucinate (PDF)
Examines how recursive compression degrades semantic integrity and establishes fidelity as a central concern in AI alignment. - Constraint Collapse and Fidelity Decay: When Feedback Stops Correcting Symbolic Systems (PDF)
Explores how AI systems remain fluent while drifting from reality when feedback no longer enforces correction. Introduces constraint collapse and reframes alignment as a problem of preserving constraint, not just reducing error.
- Language as Cognitive Exhaust: What Language Reveals About Thought, Compression, and AI (PDF)
Reframes language as the compressed residue of thought. Connects human cognition and AI by showing how models learn from linguistic artifacts rather than raw experience.
- A Semantic Fidelity Lexicon: Preserving Meaning in the Age of Generative Systems (PDF)
Defines the core vocabulary of semantic fidelity, including semantic drift, fidelity decay, and meaning collapse. Establishes the conceptual foundation for measuring and governing meaning in AI systems.