Revision_AI for Good_Day 1

What are the key abilities of AI systems?

• Sense, reason, act, and adapt

• Think, memorize, replace, and predict

• Store, retrieve, delete, and modify

• Compute, analyze, create, and destroy

Which of the following best represents the AI model workflow?

• Data → Output → Model

• Input → Model → Output

• Model → Data → Algorithm

• Output → Data → Model

Which of the following is an example of AI application in recommendation systems?

• Face ID in smartphones

• Netflix suggesting shows you might like

• Scanning QR codes for payment

• Voice recognition in mobile assistants

What is the importance of data quality in AI training?

• Poor data can still produce good results

• The type of data does not affect AI outcomes

• Incorrect labels and missing values can lead to poor AI predictions

• AI models work independently without relying on data

What does "Garbage In, Garbage Out" mean in AI?

• AI can fix bad data automatically

• The quality of AI output depends on the quality of input data

• AI models work best with large amounts of data, regardless of quality

• AI does not need training data to function