Free Authentic IAPP AIGP Actual Exam Questions - Question 5 Discussion
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.
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?
C imo, because having diverse datasets helps ensure the AI system performs consistently across different situations, which is crucial for its reliability, especially in law enforcement contexts.
B imo, diversity mainly targets fairness and bias reduction in AI.
Maybe C makes sense because diverse datasets can improve the reliability of the AI system by ensuring it performs well across different groups and scenarios. If the data is too narrow, the system might work well only in limited contexts, which affects its overall reliability. So, the consultant probably wanted to check if the system would reliably identify criminal activity across diverse populations, not just focus on fairness or explainability.
It’s B because diverse data mainly targets bias and fairness, not just reliability.
Maybe B? Asking about dataset diversity usually ties into fairness concerns, making sure the AI isn’t biased against certain groups. It doesn’t directly relate to explainability or reliability, and while following laws might be involved, the question highlights dataset diversity specifically, which is often about fairness. The focus was probably on preventing bias in the system’s outputs.