AIGP practice questions 61–70

1. Question 61 · 161 in bank

   Which of the following considerations is the most important in mitigating the potential of bias in training and testing data?

   • AUsing privacy-enhancing tools to protect the data.
   • BValidating that the data is representative.
   • CReceiving explicit consent to use the data.
   • DAssessing the sufficiency of the third-party data.

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   Answer: B

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2. Question 62 · 161 in bank

   The most important factor in ensuring fairness when training an AI system is:

   • AThe architecture and model selection.
   • BThe data labeling and classification.
   • CThe data attributes and variability.
   • DThe model accuracy and scale.

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   Answer: C

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3. Question 63 · 161 in bank

   What is the best method to apply to an AI model so that it is statistically unlikely that a specific piece of training data can be identified from a model’s output?

   • AHomomorphic encryption.
   • BData sharding.
   • CDifferential privacy.
   • DData compartmentalization.

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   Answer: C

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4. Question 64 · 161 in bank

   During the development of semi-autonomous vehicles, various failures occurred as a result of the sensors misinterpreting environmental surroundings, such as sunlight. These failures are an example of:

   • AHallucination.
   • BBrittleness.
   • CForgetting.
   • DUncertainty.

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   Answer: B

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5. Question 65 · 161 in bank

   Decreasing the complexity of a machine learning model reduces variance and:

   • AIncreases bias.
   • BIncreases accuracy.
   • CDecreases tolerance.
   • DDecreases interpretability.

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   Answer: A

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6. Question 66 · 161 in bank

   CASE STUDY - Please use the following to answer the next question: A local police department in the United States procured an AI system to monitor and analyze social media feeds, online marketplaces and other sources of public information to detect evidence of illegal activities (e.g., sale of drugs or stolen goods). The AI system works by surveying the public sites in order to identify individuals that are likely to have committed a crime. It cross-references the individuals against data maintained by law enforcement and then assigns a percentage score of the likelihood of criminal activity based on certain factors like previous criminal history, location, time, race and gender. The police department retained a third-party consultant to assist in the procurement process, specifically to evaluate two finalists. Each of the vendors provided information about their system’s accuracy rates, the diversity of their training data and how their system works. The consultant determined that the first vendor’s system has a higher accuracy rate and based on this information, recommended this vendor to the police department. The police department chose the first vendor and implemented its AI system. As part of the implementation, the department and consultant created a usage policy for the system, which includes training police officers on how the system works and how to incorporate it into their investigation process. The police department has now been using the AI system for a year. An internal review has found that every time the system scored a likelihood of criminal activity at or above 90%, the police investigation subsequently confirmed that the individual had, in fact, committed a crime. Based on these results, the police department wants to forego investigations for cases where the AI system gives a score of at least 90% and proceed directly with an arrest. Which AI risk would NOT have been identified during the procurement process based on the categories of information requested by the third-party consultant?

   • ASecurity.
   • BAccuracy.
   • CExplainability.
   • DDiscrimination.

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   Answer: A

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7. Question 67 · 161 in bank

   CASE STUDY - Please use the following to answer the next question: A local police department in the United States procured an AI system to monitor and analyze social media feeds, online marketplaces and other sources of public information to detect evidence of illegal activities (e.g., sale of drugs or stolen goods). The AI system works by surveying the public sites in order to identify individuals that are likely to have committed a crime. It cross-references the individuals against data maintained by law enforcement and then assigns a percentage score of the likelihood of criminal activity based on certain factors like previous criminal history, location, time, race and gender. The police department retained a third-party consultant to assist in the procurement process, specifically to evaluate two finalists. Each of the vendors provided information about their system’s accuracy rates, the diversity of their training data and how their system works. The consultant determined that the first vendor’s system has a higher accuracy rate and based on this information, recommended this vendor to the police department. The police department chose the first vendor and implemented its AI system. As part of the implementation, the department and consultant created a usage policy for the system, which includes training police officers on how the system works and how to incorporate it into their investigation process. The police department has now been using the AI system for a year. An internal review has found that every time the system scored a likelihood of criminal activity at or above 90%, the police investigation subsequently confirmed that the individual had, in fact, committed a crime. Based on these results, the police department wants to forego investigations for cases where the AI system gives a score of at least 90% and proceed directly with an arrest. The best human oversight mechanism for the police department to implement is that a police officer should?

   • AExplain to the accused how the AI system works.
   • BConfirm the AI recommendation prior to sentencing.
   • CEnsure an accused is given notice that the AI system was used.
   • DConsider the AI recommendation as part of the criminal investigation.

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   Answer: D

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8. Question 68 · 161 in bank

   CASE STUDY - Please use the following to answer the next question: A local police department in the United States procured an AI system to monitor and analyze social media feeds, online marketplaces and other sources of public information to detect evidence of illegal activities (e.g., sale of drugs or stolen goods). The AI system works by surveying the public sites in order to identify individuals that are likely to have committed a crime. It cross-references the individuals against data maintained by law enforcement and then assigns a percentage score of the likelihood of criminal activity based on certain factors like previous criminal history, location, time, race and gender. The police department retained a third-party consultant to assist in the procurement process, specifically to evaluate two finalists. Each of the vendors provided information about their system’s accuracy rates, the diversity of their training data and how their system works. The consultant determined that the first vendor’s system has a higher accuracy rate and based on this information, recommended this vendor to the police department. The police department chose the first vendor and implemented its AI system. As part of the implementation, the department and consultant created a usage policy for the system, which includes training police officers on how the system works and how to incorporate it into their investigation process. The police department has now been using the AI system for a year. An internal review has found that every time the system scored a likelihood of criminal activity at or above 90%, the police investigation subsequently confirmed that the individual had, in fact, committed a crime. Based on these results, the police department wants to forego investigations for cases where the AI system gives a score of at least 90% and proceed directly with an arrest. During the procurement process, what is the most likely reason that the third-party consultant asked each vendor for information about the diversity of their datasets?

   • ATo comply with applicable law.
   • BTo assess the fairness of the AI system.
   • CTo evaluate the reliability of the AI system.
   • DTo determine the explainability of the AI system.

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   Answer: B

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9. Question 69 · 161 in bank

   CASE STUDY - Please use the following to answer the next question: A local police department in the United States procured an AI system to monitor and analyze social media feeds, online marketplaces and other sources of public information to detect evidence of illegal activities (e.g., sale of drugs or stolen goods). The AI system works by surveying the public sites in order to identify individuals that are likely to have committed a crime. It cross-references the individuals against data maintained by law enforcement and then assigns a percentage score of the likelihood of criminal activity based on certain factors like previous criminal history, location, time, race and gender. The police department retained a third-party consultant to assist in the procurement process, specifically to evaluate two finalists. Each of the vendors provided information about their system’s accuracy rates, the diversity of their training data and how their system works. The consultant determined that the first vendor’s system has a higher accuracy rate and based on this information, recommended this vendor to the police department. The police department chose the first vendor and implemented its AI system. As part of the implementation, the department and consultant created a usage policy for the system, which includes training police officers on how the system works and how to incorporate it into their investigation process. The police department has now been using the AI system for a year. An internal review has found that every time the system scored a likelihood of criminal activity at or above 90%, the police investigation subsequently confirmed that the individual had, in fact, committed a crime. Based on these results, the police department wants to forego investigations for cases where the AI system gives a score of at least 90% and proceed directly with an arrest. What should a police officer explain about the use of the AI system at the time of arrest?

   • AInformation about the scoring protocol of the AI system.
   • BInformation about the public sites surveilled by the AI system.
   • CInformation about use of the AI system in prosecuting the case.
   • DInformation about how the individual was identified by the AI system.

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   Answer: D

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10. Question 70 · 161 in bank

    You are an engineer that developed an AI-based ad recommendation tool. Which of the following should be monitored to evaluate the tool’s effectiveness?

    • AOutput data, to assess the delta between the prediction and actual ad clicks.
    • BAlgorithmic patterns, to show the model has a high degree of accuracy.
    • CInput data, to ensure the ads are reaching the target audience.
    • DGPU performance, to evaluate the tool’s robustness.

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    Answer: A

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AIGP practice, question 61. 161 questions available.