Understanding Generative AI Concepts

What is Generative AI?

• AI that generates new content such as text, images, and music

• AI that only analyses data

• AI that only automates tasks

Which type of Generative AI is used to generate realistic images, videos, and audio?

• Recurrent Neural Networks (RNNs)

• Variational Autoencoders (VAEs)

• Generative Adversarial Networks (GANs)

Which type of Generative AI is primarily used for sequence modelling tasks such as language and speech recognition?

• Generative Adversarial Networks (GANs)

• Variational Autoencoders (VAEs)

• Recurrent Neural Networks (RNNs)

What is one of the main challenges associated with the use of Generative AI in education?

• Lack of creativity

• Data privacy and security

• High cost of implementation

What is one example of an AI tool that can assist in generating educational content?

• Microsoft Copilot

• Google Gemini

• Both A and B

Which of the following is a potential benefit of using Generative AI in creative industries?

• Reducing the need for human creativity

• Enhancing creative processes and output

• Eliminating the need for human artists

What is a common application of Generative AI in the healthcare industry?

• Automating patient check-ins

• Generating synthetic medical data for research

• Scheduling appointments

Which of the following is a limitation of Generative AI models?

• They can only work with structured data

• They require large amounts of data to train effectively

• They are incapable of learning from new data

How can Generative AI contribute to environmental sustainability?

• By increasing energy consumption

• By optimising resource usage and reducing waste

• By creating more digital content

What is a potential ethical concern regarding the use of Generative AI?

• It can lead to job creation

• It can be used to create misleading or harmful content

• It can improve decision-making processes