Regulators and enterprises increasingly require explanations for AI decisions, and the two terms get thrown around loosely. What lands is separating inherently interpretable models from post-hoc explanations and picking the right technique for the stakes.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
Regulators and enterprises increasingly require explanations for AI decisions, and the two terms get thrown around loosely. What lands is separating inherently interpretable models from post-hoc explanations and picking the right technique for the stakes.
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