SJC grade 9 review

Which of the following is the best description of “machine learning”?

• How computers recognize patterns and make decisions without being explicitly programmed
• How students learn about machines
• How a computer processes inputs into outputs
• How a computer processes memory

Which of the following is NOT a type of machine learning?

• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning
• Human Learning

Which of the following is an example of supervised learning?

• A computer program that can identify objects in an image
• A computer program that can generate new images
• A computer program that can play chess against a human
• A computer program that can sort a list of numbers

How does a machine "learn" in unsupervised learning?

• By being given a set of labeled examples to learn from
• By being given a set of tasks to perform
• By identifying patterns and relationships in unlabeled data
• By being given a set of rules to follow

What is the main difference between supervised and unsupervised learning?

• Supervised learning uses labeled data, while unsupervised learning uses unlabeled data.
• Supervised learning makes errors, while unsupervised learning finds patterns in errors.
• Supervised learning is used for regression tasks, while unsupervised learning is used for classification tasks.
• Supervised learning is used for online learning, while unsupervised learning is used for offline learning.

Which of the following is an interesting current use case for AI?

• An app that helps blind people navigate the world by using AI to analyze an image from a phone camera and describe the scene to the blind person using voice.
• A calculator app.
• A note taking app.
• An app that shows you how expensive stocks and shares are.

What is the purpose of an AI model card?

• To describe the training process of an AI model
• To provide an overview of the AI model's architecture
• To list all the input and output variables of an AI model
• To provide information about the ethical considerations and limitations of an AI model

What type of information can be found in an AI model card?

• The creators of the AI model
• The purpose of the AI model
• The limitations and biases of the AI model
• All of the above

What should NOT be included in the "limitations and biases" section of an AI model card?

• Known limitations and biases of the AI model
• The steps taken to mitigate any limitations or biases
• The potential consequences of using the AI model
• Ways to avoid getting into legal trouble while using the AI model

What is NOT a benefit of having an AI model card for developers?

• It promotes transparency and accountability in AI development
• It helps to identify and mitigate limitations and biases in AI models
• It tells an AI engineer how much money they can sell the model for
• It provides a clear understanding of the capabilities and limitations of the AI model