Transparency in Credit
Mack emphasizes the importance of explainability in machine learning models, particularly in the context of credit decisions. Jaeden agrees, highlighting that transparency not only helps customers understand why they were declined but also guides them on how to improve their creditworthiness. The conversation delves into the ethical implications of credit distribution and the challenges of balancing fairness with responsible lending practices.In this clip
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