Which example best illustrates a learning-based AI system?
1 Introduction to Artificial Intelligence Online Quiz Questions
Use this free practice quiz with 20 questions to review 1 Introduction to Artificial Intelligence, test your knowledge, and prepare for your next test or exam.
A single AI system can combine a learned model with explicit rules or search methods.
- A
True
- B
False
A developer gives a trained model a new photo and uses its output to identify the pictured object. What is the process of using the model on this new input called?
An email system assigns each message to either the “spam” or “not spam” category. This task is called .
Select all statements that correctly distinguish training from inference in an AI system.
- A
Training uses data to build or adjust a model.
- B
Inference uses a resulting model on new input.
- C
Training is the process of applying a completed model to new input.
- D
Inference means writing all of a system’s rules by hand.
A troubleshooting tool follows only explicit rules supplied by people. A user reports a problem that none of those rules address. Which limitation is most likely?
- A
It learns how to handle the case automatically from examples.
- B
It can always infer the intended response, even without a relevant rule.
- C
It may struggle because its supplied rules do not cover the new situation.
- D
It becomes a learning-based system as soon as a case is unfamiliar.
Artificial general intelligence (AGI) is a standard label for today’s task-specific AI systems.
- A
True
- B
False
What is the AI term for a learned or constructed representation that a system uses to produce an output such as a prediction or classification?
A system is designed to recommend music but cannot transfer its abilities broadly to unrelated problems. This is an example of .
An organization plans to use an AI system in decisions that could significantly affect people. Select all considerations that support responsible development and use.
- A
Provide human oversight for consequential decisions.
- B
Check for fairness concerns and possible bias in data or outcomes.
- C
Pay attention to privacy and accountability.
- D
Assume the system’s output is correct whenever it sounds confident.
- E
Avoid reviewing impacts on people because the system is automated.
Which description best matches the definition of an AI system presented in the material?
- A
Any computer program that follows fixed instructions
- B
A system that makes predictions, recommendations, or decisions based on human-defined objectives
- C
A machine that necessarily thinks and understands exactly as a person does
- D
A system that can only act after learning from labeled examples
What family of models is used in some machine-learning systems?
A route-finding program compares possible paths and selects one that meets a travel-time criterion. Which AI concept best describes this process?
- A
Classification, because each route is assigned a category
- B
Training, because every possible path must be a data example
- C
Search and planning, because possible paths are compared to find one meeting the travel-time criterion
- D
Inference, because any output from a program is inference
A team is choosing between a rule-based system and a learning-based system for a troubleshooting tool. Explain how the two approaches differ and identify one limitation of each.
An email filter examines each incoming message and labels it as spam or not spam. Which AI task is the filter performing?
- A
It performs route planning by comparing possible paths.
- B
It performs classification by assigning each message to a category.
- C
It trains a model each time it processes a message.
- D
It uses only a fixed rule and therefore cannot be an AI system.
Which statement correctly distinguishes an algorithm from a model in artificial intelligence?
- A
An algorithm is the representation used to produce an output; a model is a procedure for processing information.
- B
An algorithm is a procedure for processing information or solving a problem; a model is a learned or constructed representation used to produce an output.
- C
An algorithm and a model are both names for the data used by a system.
- D
An algorithm is the output of a system; a model is the goal the system is trying to reach.
A system can perform an AI task without thinking or understanding in the same way a person does.
- A
True
- B
False
A company has already built a model from past examples. It now feeds a new customer message into the model to get a prediction. What process is taking place?
- A
The system is performing inference.
- B
The system is performing training.
- C
The system is performing classification only if it changes the model.
- D
The system is building an explicit rule set rather than using a model.
A troubleshooting system must follow a precise safety rule but also recognize likely faults from past cases. Which design best fits these requirements?
- A
Use only explicit rules, since learning-based systems cannot handle complex patterns.
- B
Use only a learned model, since explicit rules cannot be part of an AI system.
- C
Replace both methods with a basic calculator, because fixed operations are always AI.
- D
Combine explicit rules for specified conditions with a learned model for patterns in examples.
What acronym names the proposed kind of AI with broad abilities across many kinds of intellectual tasks?