AI rarely fails because models are weak.
It fails because assumptions remain unexamined.

In regulated and high-responsibility environments, the critical risks emerge before deployment:
when power integrates faster than governance,
when intuition is mistaken for judgement,
and when accountability is assumed rather than designed.

The Shadow Mechanism describes this moment — the gap between adoption and formal responsibility, where most AI failures quietly begin.
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