Conduct Risk Assessment(s) (e.g., Security, Safety, Ethics) PMI-CPMAI Practice Questions (Page 3)

Questions 11–15

1. 11application · medium

   A government agency is deploying an AI system to predict which individuals are likely to commit future crimes. The system is used to inform decisions about parole and bail. Civil rights groups have raised concerns about the system's potential for bias and lack of transparency. The agency is committed to addressing these ethical concerns. Which of the following is the most important step to ensure the ethical use of this AI system?

   • AUse the AI system as the sole decision-maker to ensure consistency and remove human bias.
   • BKeep the AI system's algorithms and training data confidential to prevent gaming of the system.
   • CEnsure that the AI system's decisions are explainable and that individuals affected by the decisions have a right to appeal.
   • DDeploy the system only for low-stakes decisions, such as recommending community service, to minimize the potential for harm.
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2. 12application · medium

   A healthcare provider is developing an AI system to assist doctors in diagnosing skin cancer from images. The system is trained on a dataset that is predominantly composed of images of light-skinned patients. During testing, the system is found to be significantly less accurate for patients with darker skin tones. The provider is committed to developing a mitigation strategy. Which of the following is the most effective mitigation strategy?

   • ADeploy the system only for patients with light skin tones and rely on human doctors for patients with darker skin tones.
   • BCollect and add more diverse training data, including images of skin cancer from patients with a wide range of skin tones.
   • CImplement a post-processing step that adjusts the model's output to be more conservative for patients with darker skin tones.
   • DUse a different AI algorithm that is known to be less susceptible to bias.
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4. 13application · medium

   A logistics company relies on an AI-powered route optimization system to manage its fleet of delivery vehicles. The system is hosted on a cloud platform and is critical for daily operations. The company's risk manager is conducting a business continuity risk analysis. Which of the following is the most important factor to consider when assessing the risk of a prolonged AI system outage?

   • AThe potential financial loss from delayed deliveries and the impact on customer satisfaction and contractual obligations.
   • BThe number of data scientists on staff who are capable of retraining the model if it fails.
   • CThe cost of the cloud subscription and whether the company is using the most cost-effective pricing tier.
   • DThe technical details of the AI model's architecture and the specific algorithms used for route optimization.
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5. 14foundation · easy

   In safety impact analysis for an AI system, what is the primary purpose of analyzing how a failure mode affects the real world?

   • ATo compare the AI system's performance to human performance
   • BTo quantify the potential harm to people, property, or the environment
   • CTo identify which team is responsible for the failure
   • DTo determine the root cause of the failure
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6. 15foundation · easy

   During a risk assessment for an AI-based medical diagnosis system, the team identifies a scenario where the model produces a correct output for typical cases but fails to detect a rare disease when the input image has a specific artifact. What is this type of potential failure mode called?

   • AEdge case failure
   • BModel inversion
   • CData poisoning
   • DAdversarial attack
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