AI Fundamentals CT-AI Practice Questions (Page 1)

Questions 1–5

1. 1expert · hard

   A company is evaluating two AI systems: one that can only translate text, and another that can translate text, summarize documents, and answer questions. Both are trained on specific datasets. The company wants to invest in a system that could eventually evolve into General AI. Which system is a better starting point?

   • ANeither, because General AI cannot be achieved from Narrow AI systems.
   • BThe single-task system, because it is simpler and easier to improve.
   • CThe multi-task system, because it demonstrates broader capabilities, but it is still Narrow AI.
   • DBoth equally, because they are both Narrow AI and have the same potential.
   Reveal Solution Discussion Select an answer first
2. 2expert · hard

   A hospital uses a conventional system to predict patient readmission based on a fixed set of clinical rules. The system has a high false-negative rate, missing many patients who are readmitted. The hospital wants to improve sensitivity without sacrificing too much specificity. Which approach is most appropriate?

   • AUse a machine learning model but set the threshold to maximize sensitivity, ignoring specificity.
   • BAdd more clinical rules to the existing system to cover more readmission cases.
   • CKeep the conventional system and accept the high false-negative rate.
   • DTrain a machine learning model on historical patient data and tune the decision threshold to balance sensitivity and specificity.
   Reveal Solution Discussion Select an answer first
4. 3foundation · easy

   Which statement best describes the AI Effect?

   • AAI systems must be able to explain their decisions to be considered intelligent.
   • BThe AI Effect refers to the tendency of AI systems to outperform humans in all tasks.
   • COnce a system's internal workings are understood, it is often no longer considered AI.
   • DA system is considered AI only if it can pass the Turing Test.
   Reveal Solution Discussion Select an answer first
5. 4foundation · easy

   Which type of AI is characterized by the ability to understand, learn, and apply knowledge across a wide range of tasks at a level equal to human intelligence?

   • AReactive AI
   • BSuper AI
   • CGeneral AI
   • DNarrow AI
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6. 5foundation · easy

   What is a key limitation of Narrow AI (also called Weak AI)?

   • AIt can only perform tasks within a specific, predefined domain.
   • BIt requires massive amounts of data to function at all.
   • CIt cannot perform any tasks without human supervision.
   • DIt cannot be used in commercial products.
   Reveal Solution Discussion Select an answer first