AWS Certification Exam AI Practitioner (Practice Questions) set9
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Why is explainability particularly important when introducing AI models for credit decision-making?
①Because you can get a high F1 score.
②Because one can explain the reasons for the decision to people and supervisory authorities.
③Because inference costs go down.
④Because the number of model parameters increases.
⑤Because I'm using the latest framework.