Exploring Artificial Intelligence

What are the differences between computer program, and AI?

• A computer program can learn and adapt; AI executes predefined instructions.
• AI is a type of computer program that cannot learn.
• A computer program executes predefined instructions; AI can learn and adapt.
• Computer programs are always more complex than AI.

Where can we find AI in our day to day life?

How does AI work?

• AI works by analyzing data and learning from it to make predictions or decisions.
• AI functions by mimicking human emotions and feelings.
• AI operates solely on random chance and luck.
• AI works by following pre-programmed rules without learning.

What makes a GOOD AI?

• Trained with many data, many variations and without biases

• High cost of implementation
• Limited functionality
• Complex user interface

What is Generative AI?

• Generative AI is a type of software that only analyzes existing content.
• Generative AI refers to a method of data storage and retrieval.
• Generative AI is a hardware component used for processing data.
• Generative AI is a type of artificial intelligence that creates new content by learning from existing data.

What moral value or ethics do we need to consider when using AI?

• Fairness, accountability, transparency, and respect for privacy.
• Profit maximization
• User surveillance
• Data manipulation

What will happen when you train AI with more data?

• AI performance improves with more data.
• AI becomes more biased with additional data.
• More data has no effect on AI performance.
• AI performance decreases with more data.

Which option might be an issue caused by biased data in training your artificial intelligence?

• Increased accuracy in AI predictions.
• More diverse data representation.
• Faster training times for AI models.
• Discriminatory outcomes in AI predictions.

How does the ai decide?

• AI decides through data analysis and learned algorithms.
• AI relies solely on human input for decisions.
• AI decides based on random chance.
• AI makes decisions based on user preferences only.

What is the purpose of Large Language Model in Generative AI?

• To create audio files from text input.
• To translate text between different languages.
• To analyze data patterns in images.
• The purpose of Large Language Models in Generative AI is to generate human-like text based on input.