The article argues that the primary challenge with AI interpretability stems not from the models themselves, but rather from organizational processes and workflows surrounding AI deployment. SDxCentral suggests that addressing procedural transparency and governance may be more critical to understanding AI decision-making than focusing solely on model architecture.
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