AI & Machine Learning Final Exam Key Concepts and Principles

What was the robot learning to do in the AI Bot fish activity?

Detect patterns in fish images.

What type of machine learning involves a human providing labeled examples to train a model?

Supervised learning.

What type of learning was demonstrated in the 'Green Glass Door' game?

Unsupervised learning - finding patterns without help.

What are 'features' in machine learning?

The inputs that a model uses to make decisions.

What were the axes measuring in the fruit vs. vegetable classification activity?

Sweetness and ease of eating.

What is the main purpose of a Model Card?

To represent important information about a trained model and help uncover potential issues.

What problem did students discover in the Medical Priority app?

The app made decisions based on personal information, showing bias.

What type of data can be separated into groups or categories?

Categorical data.

What method was used to predict zombie numbers in new locations?

Degrees of similarity and averages from neighboring town data.

Which real-world AI system uses features like listening history to make predictions?

Spotify.

What does TikTok's recommendation algorithm primarily predict?

Which videos you'll watch and engage with.

What is the most important criterion for evaluating AI technology according to Pope Francis?

Human dignity and the common good.

True or False: Unsupervised learning finds patterns in data that doesn't have any labels.

True.

True or False: In AI Lab, you can only train models using categorical data.

False.

What is a 'label' in machine learning?

The output you are trying to decide or predict with a model.

True or False: Training a machine learning model means giving it examples so it can learn patterns.

True.

True or False: Face ID uses supervised learning.

True.

True or False: According to the Catholic Church, AI can replace authentic human relationships.

False.

True or False: High accuracy in a model always means the model is ethical and fair.

False.

True or False: In the restaurant recommendation activities, data visualization tools were used to identify features with high relationships.

True.

What is Machine Learning?

How computers recognize patterns and make decisions without being explicitly programmed.

What is Classification in machine learning?

Predicting a category based on other features.

What is a Model?

A computer program designed to make a decision.

What are Ethics in the context of AI?

Guidelines for good behavior.

What is Transparency in AI?

One of the Rome Call principles ensuring AI systems are understandable and explainable.

What is the purpose of reviewing Code.org activities?

To reinforce understanding of AI concepts and applications.

What should you understand about features, labels, and models?

How they work together in machine learning.

Why is it important to respect human dignity in AI?

It acknowledges that a person's worth cannot be fully captured by algorithms.

What does the technocratic paradigm warn against?

The belief that all problems can be solved through technology and efficiency alone.