Breaking the glass box: achieving ‘explainability’ that actually explains
Tied to the growing popularity of machine learning (ML) tools is the need to explain their underlying rationale. But buzzwords, like ‘glass box’, are steering the explainability conversation off course. Meanwhile, without proper investment in the tech innovations and governance methods to properly validate ML, it could proliferate throughout the financial industry without the necessary safeguards.
As a highly iterative
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