The Neural Network Black-Box Paradox
A study on the non-transparent reasoning processes of deep neural networks and their reliance on pattern-matching rather than logical causality.
The 'Black-Box' nature of deep learning allows AI developers to defer responsibility for algorithmic outcomes, an LHS phenomenon where the creator inherits the machine's perceived unpredictability as a shield.
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