Grade 7: Living with AI

How does AI differ from traditional programming?

• Traditional programming can learn from data.

• AI learns from data and adapts, whereas traditional programming follows fixed rules.

• AI is only used for data storage.

• AI requires no data to function.

What is the main difference between automation and AI?

• AI is solely focused on executing repetitive tasks.

• Automation is task execution with minimal human intervention, while AI involves learning and decision-making.

• AI requires human input, while Automation does not.

• Automation can learn and adapt like AI.

Select real-world applications of AI (choose all that apply)

• Google Maps

• Scheduled email reminders

• Weather prediction

• Video recommendations

What are the three main types of machine learning?

• Supervised learning, Unsupervised learning, Reinforcement learning

• Semi-supervised learning

• Active learning

• Transfer learning

Which type of machine learning uses labeled data?

• Semi-supervised learning

• Unsupervised learning

• Reinforcement learning

• Supervised learning

What is unsupervised learning primarily used for?

• Predicting future outcomes based on historical data.

• Classifying data into predefined categories.

• Enhancing the accuracy of labeled datasets.

• Discovering patterns or structures in data without labeled responses.

In reinforcement learning, what does an agent learn from?

• An agent learns from static data sets.

• An agent learns from interactions with the environment.

• An agent learns from pre-defined rules.

• An agent learns from expert demonstrations.

What are the three essential parts of an AI system?

• Dataset, Algorithm, Prediction

• Models, frameworks, protocols

• Sensors, networks, interfaces

• Training, testing, deployment

What role does a dataset play in machine learning?

• A dataset is primarily for visualization purposes.

• A dataset is essential for training and evaluating machine learning models.

• A dataset is only used for data storage.

• A dataset is irrelevant to model performance.

How does an algorithm contribute to AI solutions?

• Algorithms are only used for data storage in AI solutions.

• Algorithms have no role in decision-making for AI systems.

• Algorithms are primarily for user interface design in AI applications.

• Algorithms are essential for processing data, enabling learning, and making decisions in AI solutions.