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When Pattern Recognition Becomes a Trap
AI, Framework, Safety, Ethics, Best Practices, Neuroinclusive Elizabeth Morrison AI, Framework, Safety, Ethics, Best Practices, Neuroinclusive Elizabeth Morrison

When Pattern Recognition Becomes a Trap

Pattern recognition can look like clarity, especially when language is fluent and confident. But coherence is not the same thing as understanding. When pattern-based systems are treated as sources of meaning rather than drafts for judgment, decisions begin to shortcut context, values, and consequences.

This becomes a trap in high-stakes environments where speed and polish are rewarded. Individuals receive plans that ignore capacity. Clinicians inherit frameworks that sound complete but bypass nuance. Organizations adopt systems that appear efficient while quietly increasing fragility under stress.

The problem is not the use of tools, but the substitution of judgment. Pattern recognition can assist thinking, but it cannot evaluate what matters, what conflicts, or what will break over time. When “sounds right” replaces discernment, the cost is often borne later—in burnout, ethical drift, and systems that fail precisely when they are needed most.

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