Questions

A high school educator uses an artificial intelligence tool to help create an assignment where students analyze a news article. To prepare for the assignment, the educator prompts the tool to summarize the news article. When reviewing the outcome, the educator notices that the summary included quotes that were not in the original article. What potential artificial intelligence limitation does this scenario describe?

 

• Hallucination
• This scenario does not describe an AI limitation
• Unfair bias
• Failing to disclose use

 

What type of training data is used when teaching large language models to identify patterns between words, concepts, and phrases?

 

• Real-time human conversations
• Thousands of photos and illustrations
• Interactions with physical objects
• Vast amounts of text

 

Conversational artificial intelligence tools can process natural language — or the way people talk or write when communicating with each other. This enables them to accomplish what types of tasks? Select all that apply.

 

• Adapt to particular conversational contexts
• Interpret certain colloquialisms
• Respond to common conversational cues
• Understand human emotions

 

Which of the following steps are part of the model development process? Select all that apply.

 

• The model learns patterns in the training dataset and makes successful predictions over time
• Designers collect relevant data with which to train the model
• Discard the model
• The data is prepared for training

 

 

Which of the following statements accurately describe non-artificial-intelligence functions? Select all that apply.

 

• A sprinkler system that waters a lawn according to a pre-programmed schedule is an example of a non-artificial-intelligence solution.
• A streaming service basing music recommendations on user likes and dislikes is an example of a non-artificial-intelligence solution.
• Non-artificial-intelligence tools work by executing instructions.
• The responses of non-artificial-intelligence tools are predefined.

 

A type of machine learning uses unlabeled datasets to allow a program to identify patterns in data without a specific output in mind. Which approach to machine learning does this scenario describe?

 

• Supervised learning
• Reinforcement learning
• Unsupervised learning