Computer Literacy Midterm

What is generative AI?

• A) AI that can generate images, videos, or text
• B) AI that learns from data but does not create content
• C) AI used only for analyzing historical data
• D) AI designed only for automating tasks

How does generative AI differ from other types of AI?

• A) It can generate new content based on patterns it learns
• B) It only analyzes existing data
• C) It can only function with structured data
• D) It doesn’t use machine learning

What does the Input, Storage, Processing, Output (ISPO) framework help us understand?

• A) How AI interacts with the physical world
• B) The basic components of any AI system
• C) The ethical concerns of using AI
• D) How to train an AI model

Why is it important to understand the historical impact of technological innovations when discussing AI?

• A) To predict future technology trends
• B) To learn from past mistakes and successes
• C) To understand only the technical aspects of AI
• D) To focus on developing more advanced AI models

How might generative AI affect society in the future?

• A) It will have minimal impact
• B) It will significantly change how people interact with technology
• C) It will only impact businesses
• D) It will replace all human jobs

Why is training data essential for AI systems?

• A) It helps AI learn how to make decisions
• B) It allows AI to function without human input
• C) It is only needed for hardware components
• D) It is only useful for analyzing historical data

How does generative AI use large datasets to understand and process language?

• A) By analyzing patterns and relationships in the data
• B) By storing raw data without processing it
• C) By using pre-programmed rules
• D) By focusing only on the most common words

How is AI’s process of categorizing words similar to human learning?

• A) It categorizes words based on emotions
• B) It uses memory to remember words
• C) It recognizes patterns and groups words with similar meanings
• D) It categorizes words randomly

What role does the internet play in providing data for AI models?

• A) It provides structured data exclusively
• B) It provides vast amounts of unstructured data for AI to learn from
• C) It is not relevant to AI learning
• D) It only provides images for AI models

How does AI learn from the data it is trained on to build a vocabulary?

• A) By memorizing every word it encounters
• B) By finding relationships between words in the data
• C) By creating its own definitions for words
• D) By ignoring words it doesn’t understand