Black box AI describes systems (often deep learning models) where the internal decision-making process is too complex for humans to interpret.
Why it matters:
- Powerful but opaque — users can’t easily tell how outputs are generated.
- Creates challenges for compliance, trust, and accountability.
Pro tip: Use black box AI for pattern recognition (like images), but pair it with explainable methods when decisions affect people.
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