Understanding Generative AI Concepts

Generative AI creates new content like text, images, and music using AI technology. It relies on prompts and large datasets to identify patterns and generate outputs. While it offers impressive capabilities, it can also be misused, such as in deepfakes or providing incorrect information. Effective use requires quality data and prompts, and humans must ensure factual accuracy. Generative AI has potential as a creative partner but must be used thoughtfully.

What is generative AI?

• AI that cannot create music

• AI that only processes images

• AI that only analyzes data

• AI that generates new content

Which of the following is NOT an example of content created by generative AI?

• Mathematical proofs

• Musical compositions

• Paintings

• Short stories

What is a 'prompt' in the context of generative AI?

• A programming language

• A dataset used by AI

• A description given to AI to create content

• A type of AI algorithm

What can generative AI tools do?

• Only create images

• Generate diverse ideas quickly

• Only answer questions

• Only summarize information

What is the foundation for the creation of content by generative AI?

• Small datasets

• Human creativity

• Random algorithms

• Large amounts of data

Why is it challenging to distinguish AI-generated content from human-made content?

• AI content is always low quality

• AI content is often impressive

• AI content is always the same

• AI content is always incorrect

What is a 'deepfake'?

• A type of AI-generated text

• A realistic image or video created by AI

• A programming error

• A type of AI algorithm

What does it mean when AI is 'hallucinating'?

• AI is creating new images

• AI is generating correct answers

• AI is summarizing information

• AI is providing answers that sound correct but are actually wrong