Understanding Artificial Intelligence by Teacher Kay

What does AI stand for?

• Artificial Intelligence

• Advanced Interface

• Artificial Interaction

• Automated Integration

What is the main goal of artificial intelligence?

• To develop systems that can replace human workers entirely.

• To create machines that can only perform simple calculations.

• To enhance human intelligence through direct brain interfaces.

• To create systems that can perform tasks requiring human intelligence.

Can you name a common application of AI in daily life?

• Social media algorithms

• Online shopping recommendations

• Weather forecasting

• Virtual assistants

What is machine learning?

• Machine learning is a method of data analysis that automates analytical model building.

• A hardware component for data storage.

• A type of database management system.

• A programming language for web development.

How does machine learning differ from traditional programming?

• Machine learning requires no data to function.

• Traditional programming adapts to new data automatically.

• Machine learning is only used for image recognition.

• Machine learning learns from data, whereas traditional programming relies on predefined rules.

What is an example of AI used in smartphones?

• Camera filters

• Voice assistants like Siri or Google Assistant

• Mobile games

• Photo editing apps

Why is it important to consider ethics in AI development?

• Ethics are irrelevant in AI development.

• It is important to ensure fairness, accountability, and transparency in AI systems.

• Transparency is not necessary for AI algorithms.

• AI systems should prioritize profit over fairness.

What is the difference between narrow AI and general AI?

• Narrow AI specializes in specific tasks, while General AI can perform any intellectual task that a human can do.

• Narrow AI can perform any task, while General AI is limited to specific tasks.

• Narrow AI is more advanced than General AI in all aspects.

• Narrow AI and General AI are the same and can be used interchangeably.

Can AI make decisions on its own?

• No, AI cannot make decisions on its own in the way humans do.

• AI can make decisions but only with human input.

• Yes, AI can make decisions independently.

• AI can make decisions better than humans.

What role does data play in machine learning?

• Data is used solely for storage and has no impact on learning.

• Data only serves to confuse machine learning algorithms.

• Data is irrelevant to machine learning models.

• Data is the foundation for training machine learning models, enabling them to learn patterns and make predictions.