AI Awareness Quiz

Your company plans to use AI to analyze customer feedback and suggest product improvements. What is the FIRST step you should focus on?

• Build a neural network immediately.

• Gather and clean a high-quality dataset of customer feedback.

• Choose the most advanced AI algorithm available.

• Train the model using unsupervised learning.

An AI model that predicts whether an insurance claim is genuine or fraudulent uses features such as claim amount, customer history, and accident details. This type of model is an example of:

• Generative modeling

• Discriminative modeling

• Reinforcement learning

• Unsupervised learning

A text-to-image AI model like DALL-E creates realistic images based on textual descriptions. What concept does this demonstrate?

• Generative modeling

• Discriminative modeling

• Data clustering

• Classification

Which of these is NOT an example of AI in everyday life?

• Spam filters that block unwanted emails.

• A thermostat that adjusts itself based on user preferences.

• A manual calculator used to sum up numbers.

• A voice assistant that recognizes spoken commands.

What is one major challenge of using AI in decision-making for industries like insurance or finance?

• AI models are too slow for real-time applications.

• Ensuring that the AI's decisions are explainable and unbiased.

• AI cannot process structured data.

• Training AI requires minimal data preparation.

True or False: If an AI system does not use Deep Learning, it is not considered AI.

True or False: Generative models are used to create new data, such as generating synthetic customer profiles for testing.

True or False: Discriminative models focus on classifying data or predicting labels rather than generating new data.

True or False: AI systems never make mistakes if trained on a large enough dataset.

True or False: Using AI always ensures unbiased decision-making.