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Finansta Yapay Zeka Testi
Finansal yapay zekayı bir karar iş akışı olarak inceleyin: hata maliyetleri, denetim izleri, doğru olumsuz eylem açıklamaları ve sonuç niteliğindeki eylemlerin onayı.
Soru 1 arasında 8
A model returns a risk score of 0.72. What should the team remember before treating it as a decision?
Her soruyu önizleyin8 sorular
Testi çözdüğünüzde cevaplar ve açıklamalar görünür.
- A model returns a risk score of 0.72. What should the team remember before treating it as a decision?
- The score is separate from policy, human review, and any final action
- The score automatically denies the application
- The score proves an explanation is legally sufficient
- The score removes the need to inspect data
- What costs should a team define when evaluating a financial decision model?
- Only compute cost
- Consequences of false positives and false negatives
- Only average accuracy
- Only the number of features
- Which items belong in the guide’s audit trail?
- Only the final score
- Only customer names
- Data, features, model version, threshold, and human action
- The model’s marketing description
- What should an adverse-action explanation for a credit decision identify?
- A generic feature list invented after the fact
- Only the model’s risk score
- A general statement that the model was complex
- Actual factors used by the decision process
- Why can historical decisions be a poor target label for a financial model?
- They may encode past selection and not be an appropriate target
- They always contain too few rows
- They are automatically more fair than new data
- They make auditing impossible
- What should a team monitor after deploying a fraud-flagging model?
- Only the model’s name
- Drift, missing values, unusual behavior, review queues, and complaints
- Only the number of servers
- Only the average risk score
- What safeguard should apply to a proposed account transfer or account change?
- Allow the score to act without limits
- Delete the audit trail
- Require confirmation and verify the resulting state
- Use a generic explanation afterward
- How does a fraud flag differ from declining a credit application?
- They are equivalent because both use a score
- The fraud flag requires no human review
- A credit decline is only a prediction
- A flag can send a transaction for investigation; a decline is a consequential decision