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  1. Home
  2. IAPP Certification
  3. AIGP Exam
  4. IAPP.AIGP.v2026-11-12.q219 Dumps
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Question 11

Which of the following Al uses is best described as human-centric?

Correct Answer: D
Human-centric AI focuses on improving the human experience by addressing individual needs and enhancing human capabilities. Option D exemplifies this by using virtual assistants to tailor educational content to each student's unique abilities and needs, thereby supporting personalized learning and improving educational outcomes. This use case directly benefits individuals by providing customized assistance and adapting to their learning pace and style, aligning with the principles of human-centric AI.
Reference: AIGP BODY OF KNOWLEDGE, sections on trustworthy AI and human-centric AI principles.
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Question 12

CASE STUDY
Please use the following answer the next question:
A local police department in the United States procured an Al 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 Al system works by surveilling 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 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 Al 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 Al 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 Al system gives a score of at least 90% and proceed directly with an arrest.
What is the best reason the police department should continue to perform investigations even if the Al system scores an individual's likelihood of criminal activity at or above 90%?

Correct Answer: B
The best reason for the police department to continue performing investigations even if the AI system scores an individual's likelihood of criminal activity at or above 90% is that AI systems affecting fundamental civil rights should not be fully automated. Human oversight is essential to ensure that decisions impacting civil liberties are made with due consideration of context and mitigating factors that an AI might not fully appreciate. This approach ensures fairness, accountability, and adherence to legal standards. Reference: AIGP Body of Knowledge on AI Ethics and Human Oversight.
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Question 13

CASE STUDY
Please use the following to answer the next question:
A company is considering the procurement of an AI system designed to enhance the security of IT infrastructure. The AI system analyzes how users type on their laptops, including typing speed, rhythm and pressure, to create a unique user profile. This data is then used to authenticate users and ensure that only authorized personnel can access sensitive resources.
The data processed by the AI system would be classified as:

Correct Answer: D
Behavioral biometric data used to uniquely identify individuals is considered special category data due to its sensitivity and potential impact on privacy.
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Question 14

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

Correct Answer: B
The correct answer is B because ensuring that training and testing data is representative is the most critical factor in mitigating bias in AI systems. AI governance frameworks emphasize that biased or unrepresentative datasets can lead to discriminatory outcomes, particularly when certain demographic groups are underrepresented or overrepresented. Representative data helps ensure that the model performs fairly and accurately across different populations. While privacy-enhancing tools and consent address legal and ethical data use, they do not directly prevent bias in model outcomes. Similarly, assessing the sufficiency of third- party data focuses on quantity rather than fairness or distribution. Effective bias mitigation begins with evaluating whether the dataset reflects the diversity and characteristics of the real-world population the AI system will impact.
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Question 15

When should an ethical impact assessment for AI be performed?

Correct Answer: D
Ethical impact assessments should begin at the initial development stages and continue throughout the AI system's lifecycle to proactively identify and address ethical risks.
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