Objective 4.4 Address Business Risks, Ethical Concerns, and Related Concepts in Operationalizing the Model AIP-210 Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   A bank uses an ML model to screen loan applications. Which of the following is an ethical risk that must be assessed?

   • AThe model may inadvertently use protected attributes like race or gender in decisions.
   • BThe model may require additional hardware to handle the workload.
   • CThe model may be slow to process applications during high demand.
   • DThe model may produce different results when retrained on new data.
   Reveal Solution Discussion Select an answer first
2. 7foundation · easy

   What is a key component of a post-deployment review process for ethical risks?

   • ARegularly checking the model's predictions for bias or unfair patterns.
   • BAutomatically retraining the model on a fixed schedule.
   • CDeleting all logs to protect user privacy.
   • DOnly reviewing the model when a complaint is received.
   Reveal Solution Discussion Select an answer first
4. 8application · medium

   A city government is deploying a model to allocate police patrols. Community advocates are concerned that the model may reinforce racial profiling. The city's IT department is responsible for the deployment. What should the IT department do to address the ethical concerns?

   • AUse a different model that does not use demographic data, assuming it will be fair.
   • BDelay the deployment until the community fully supports the model.
   • CConduct an ethical risk assessment that includes bias testing, community consultation, and a plan for ongoing monitoring.
   • DPublish the model's code and training data on a public website for transparency.
   Reveal Solution Discussion Select an answer first
5. 9foundation · easy

   When communicating model risks to non-technical stakeholders, which of the following is the most effective approach?

   • AShare detailed technical reports without any summary.
   • BFocus only on positive outcomes to maintain stakeholder confidence.
   • CExplain risks in business terms and their potential impact.
   • DUse technical jargon to ensure precision.
   Reveal Solution Discussion Select an answer first
6. 10foundation · easy

   A company identifies that its ML model has a bias against a certain demographic group. Which of the following is an appropriate mitigation strategy?

   • AIncrease the model's complexity to improve accuracy.
   • BReduce the model's deployment scope to avoid affected groups.
   • CIgnore the bias if the model's overall accuracy is high.
   • DRetrain the model with balanced and representative data.
   Reveal Solution Discussion Select an answer first