CodeHS Artificial Intelligence and Machine Learning Fundamentals 3

Question 1

What is 'bias' in the context of AI and machine learning ethics?

Accepted Answer

Systematic unfairness in model predictions caused by skewed or unrepresentative training data

Answer

The weight assigned to each feature in a regression model

Answer

The learning rate used during gradient descent

Answer

The difference between predicted and actual values

Question 2

In CodeHS AI curriculum, what is natural language processing (NLP)?

Accepted Answer

A field of AI focused on enabling computers to understand, interpret, and generate human language

Answer

A technique for generating realistic images from text descriptions

Answer

A machine learning approach for time-series forecasting

Answer

A method for compressing large text datasets

Question 3

Which of the following is a real-world application of computer vision, a major AI subfield?

Accepted Answer

Detecting objects and pedestrians in self-driving car cameras

Answer

Auto-completing sentences in a word processor

Answer

Recommending songs based on listening history

Answer

Translating text from English to Spanish

Question 4

What does the term 'hyperparameter' refer to in machine learning?

Accepted Answer

A configuration setting chosen before training that controls the learning process, such as learning rate

Answer

A parameter learned by the model from training data, such as a weight

Answer

The final output produced by the model after training

Answer

A variable that stores the training dataset

Question 5

What is the function of the loss function in training a machine learning model?

Accepted Answer

It measures how far the model's predictions are from the true labels, guiding weight updates

Answer

It selects which features to include in the model

Answer

It determines the number of layers in a neural network

Answer

It splits the dataset into training and validation sets

Question 6

According to CodeHS AI ethics principles, why is transparency important in AI systems?

Accepted Answer

It allows users and stakeholders to understand how decisions are made, building trust and accountability

Answer

It makes AI systems run faster and require less computing power

Answer

It eliminates the need for human oversight of AI decisions

Answer

It ensures AI models never make incorrect predictions

Question 7

Which of the following best describes a 'generative AI' model?

Accepted Answer

A model that can create new content such as text, images, or code based on learned patterns

Answer

A model trained to classify inputs into predefined categories

Answer

A model that only makes predictions about numerical values

Answer

A model that detects anomalies in network security logs