TLDR Tech / Data
AI Risk Is an Architecture Problem
AI risk should be assessed at the system level, not just the model level. The three mechanism risks of data exposure, incorrect output, and unintended action map to five business harms: brand, compliance, liability, operational, and commercial risk. The most important control is architecture: what the AI can see, what its output feeds into, and what it can do without checks. Adding human review, deterministic validations, and bounded permissions can sharply reduce action risk without changing the model.
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