A finance system flags a transaction as unusual. Does that flag by itself prove that someone committed wrongdoing?
6 AI Applications Online Quiz Questions
Use this free practice quiz with 20 questions to review 6 AI Applications, test your knowledge, and prepare for your next test or exam.
An AI system assigns each incoming support request to a category such as billing, account access, or technical help. Which AI task is it performing?
- A
Prediction
- B
Classification
- C
Generation
- D
Search and recommendation
What AI task estimates an unknown or future value?
A useful AI project should begin by , not simply by deciding to use AI.
Which tasks can AI systems support in health care? Select all correct choices.
- A
Analyze medical images
- B
Make a diagnosis without clinician judgment
- C
Organize clinical information
- D
Estimate risks
A team is preparing an AI system for deployment. Which evaluation plan best follows the recommended development process?
- A
Test only on the data used to train the system
- B
Deploy first and evaluate only if users report problems
- C
Test on data not used for training and in conditions resembling real use
- D
Evaluate only whether the system produces an output
Generative AI systems may produce details, so consequential outputs should be verified.
An AI system’s performance in a test setting may differ from its performance in everyday use.
- A
True
- B
False
Which group remains important for checking AI learning tools for accuracy and adapting support to students’ needs?
Which considerations should be taken into account when matching safeguards to the possible harms of AI use? Select all correct choices.
- A
Privacy
- B
Fairness
- C
Accessibility
- D
Safety
- E
Security
- F
Environmental costs
A clinic uses AI to help analyze medical images. Which approach best reflects the appropriate role of the system?
- A
Treat the AI output as a diagnosis whenever it is confident
- B
Use the output to support a clinician’s judgment, not as an automatic diagnosis
- C
Ignore the output because AI cannot analyze medical images
- D
Share the output without review because it concerns a medical image
A team is preparing data for an AI tool that helps screen job applications. Which action is the most appropriate?
- A
Use any available applicant data and address privacy only after deployment
- B
Keep only examples that make the model’s predictions look consistent
- C
Ignore unrepresentative examples if the dataset is large
- D
Check relevance, permission, gaps, errors, and representativeness, while protecting sensitive information
After a route-planning AI is deployed, changes in traffic patterns may affect its results. What should the team do?
- A
Assume performance will remain stable once the model is trained
- B
Stop reviewing performance once the system has been deployed
- C
Monitor performance, record problems, respond to incidents, and update or withdraw the system when needed
- D
Evaluate the system only by asking its developers whether it seems reliable
A delivery company is considering an AI system to suggest routes. Describe how the team should define the project, evaluate the system before use, and monitor it after deployment. Include the role of changing conditions and how problems should be handled.
A system assigns incoming transactions to categories so unusual ones can be flagged for review. What AI task category is it performing?
A tool ranks possible delivery options so a user can consider the most relevant ones first. What AI task category does this describe?
An AI system can produce an answer that sounds confident even when the answer is not reliable.
- A
True
- B
False
A health-care system estimates a patient’s risk from clinical information. Which use best reflects the appropriate role of its output?
- A
Treat the system’s output as a diagnosis whenever it estimates a medical risk.
- B
Use the output to support a clinician’s judgment, while the clinician remains responsible for interpreting it.
- C
Ignore the output because AI cannot assist with medical information.
A team proposes using AI to speed up a workplace process but has not yet clarified the need. What should the team do first?
- A
Choose a generative model and then look for a task it can perform.
- B
Gather as much data as possible before deciding who will use the result.
- C
Define the task, users, context, and consequences, and consider whether a simpler method would work.
- D
Deploy a model quickly so its performance can be assessed in everyday use.
A team is preparing data for an AI system that supports a specific task. Which approach best follows responsible data preparation?
- A
Check that the data are relevant and permitted, look for gaps or errors, and protect sensitive information.
- B
Use all available data, since more data always make a system more suitable.
- C
Remove sensitive information only if the system later produces an incorrect result.
- D
Select data based on convenience, then rely on deployment safeguards to address any problems.