Reflection: Human Knowledge and AI Discrepancies

How is human knowledge different from information?

Information consists of organized facts, data, or signals, but knowledge emerges when humans interpret information through context, experience, values, and judgment. Knowledge involves understanding why and how, not just what, and it enables reasoning, decision-making, and action. Unlike information, knowledge is relational, situational, and often tacit.

AI discrepancies and failures — patterns observed

AI systems frequently struggle with context sensitivity, meaning ambiguity, and value-based judgments. Common failures include hallucinations, overgeneralization, bias amplification, and difficulty handling novel or low-frequency cases. A recurring pattern is that AI performs well on surface-level patterns but fails when deeper causal reasoning, ethical interpretation, or domain-specific nuance is required.