Ensure Responsible AI Use CY0-001 Practice Questions (Page 6)

Questions 26–30

1. 26foundation · easy

   Which practice best supports transparency in an AI system that makes credit decisions?

   • AUsing a complex model that is difficult to interpret
   • BKeeping the model's logic proprietary to protect intellectual property
   • CProviding clear documentation of the model's inputs, outputs, and decision criteria
   • DLimiting access to the system's audit logs to only the development team
   Reveal Solution Discussion Select an answer first
2. 27expert · hard

   A national job placement agency is developing an AI system to match unemployed individuals with job openings. The system uses a resume parser and a matching algorithm. During testing, the agency finds that the system is 15% less likely to recommend female candidates for technical roles. The agency's leadership is committed to fairness but also needs to maximize the number of successful placements. Which strategy best balances fairness and performance?

   • AAccept the bias because the model's overall accuracy is high and fixing it would be too expensive.
   • BAdd a post-processing rule that automatically adds 15% to the score of all female candidates.
   • CRemove the gender feature from the resume parser and retrain the model.
   • DUse a fairness-aware algorithm that optimizes for equal opportunity while monitoring the impact on placement rates.
   Reveal Solution Discussion Select an answer first
4. 28application · medium

   An insurance company uses an AI system to automatically deny or approve claims. A customer disputes a denial, and the company cannot explain why the AI made that decision. The company's leadership wants to establish better accountability for AI decisions. Which action is the most effective first step?

   • AImmediately replace the AI system with a manual review process for all claims.
   • BHire a third-party consultant to review the AI model's code once a year.
   • CSend a generic letter to the customer stating that the decision was made by a complex algorithm.
   • DCreate a detailed log of all inputs, model version, and confidence score for every AI decision.
   Reveal Solution Discussion Select an answer first
5. 29foundation · easy

   Why is it important for an AI development team to be aware of relevant compliance standards and regulations?

   • ATo reduce the need for human oversight
   • BTo ensure the AI system is legally compliant and avoids penalties
   • CTo guarantee that the AI system will be profitable
   • DTo increase the computational efficiency of the AI model
   Reveal Solution Discussion Select an answer first
6. 30foundation · easy

   Which technique is commonly used to mitigate bias in an AI training dataset?

   • AResampling the data to balance representation across groups
   • BEncrypting the dataset before training
   • CAdding more layers to the neural network
   • DIncreasing the model's learning rate
   Reveal Solution Discussion Select an answer first