AI Concerns, Ethical Principles, and Responsible AI CRAGE Practice Questions (Page 5)

Questions 21–25

1. 21application · medium

   A city government plans to deploy an AI system that predicts which neighborhoods are at high risk of fire code violations. Community advocates are concerned that the system may lead to over-policing of low-income areas. Which mitigation strategy best addresses the societal concern of disparate impact?

   • AConduct a bias audit on the model's predictions across income and demographic groups before deployment.
   • BRequire human approval for every inspection recommended by the model.
   • CPublish the model's source code on a public repository.
   • DLimit the model to only use data from the last 12 months.
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2. 22foundation · easy

   Which of the following best describes a primary societal concern associated with the widespread deployment of AI systems?

   • AAI systems are primarily a technical concern with little impact on society or ethics.
   • BAI systems always operate with perfect consistency and therefore eliminate human error.
   • CAI systems primarily raise concerns about the physical safety of hardware components.
   • DAI systems can amplify existing biases present in training data, leading to unfair outcomes for certain groups.
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4. 23foundation · easy

   In the context of AI ethics, which principle is most directly concerned with ensuring that AI systems do not discriminate against individuals or groups?

   • APrivacy
   • BFairness
   • CTransparency
   • DAccountability
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5. 24expert · hard

   A hospital deploys an AI system that predicts patient deterioration. The system is highly accurate but occasionally makes errors that, if acted upon, could lead to unnecessary interventions. The hospital must decide how to integrate the system into clinical workflows. The clinical staff are concerned about liability, and the hospital wants to improve patient outcomes. Which approach best balances safety, accountability, and clinical adoption?

   • AUse the AI system as a decision-support tool, with clinicians making final decisions and documenting their reasoning.
   • BRequire clinicians to follow AI recommendations unless they can prove the AI is wrong.
   • CDeploy the system only in a research setting and not in clinical practice.
   • DAllow the AI system to automatically trigger interventions to ensure timely responses.
   Reveal Solution Discussion Select an answer first
6. 25expert · hard

   An AI-powered hiring tool is found to be less accurate for candidates with non-traditional career paths. The company wants to improve the tool's fairness but has limited data for these candidates. The hiring team is under pressure to fill positions quickly. Which approach best addresses the fairness concern given the data limitation?

   • ACollect more data on non-traditional candidates before using the tool for any hiring decisions.
   • BUse the tool for all candidates and accept the lower accuracy for non-traditional candidates.
   • CRemove all candidates with non-traditional backgrounds from the automated screening process.
   • DUse the tool only as a screening aid and supplement it with human review for candidates with non-traditional backgrounds.
   Reveal Solution Discussion Select an answer first