Practice Unit 1

What is the primary goal of Artificial Intelligence (AI)?

• To build machines that can perform calculations faster than humans.

• To create systems capable of performing tasks that typically require human intelligence.

• To replace all human jobs with automated systems.

• To connect all physical devices to the internet.

Which subfield of AI is specifically concerned with enabling machines to understand and process human language?

• Computer Vision

• Neural Networks

• Natural Language Processing (NLP)

• Robotics

An AI system that is designed to beat a human in a game of chess is an example of:

• A general AI system.

• A neural network.

• A narrow AI system.

• A machine learning model.

What is the fundamental difference between supervised and unsupervised learning?

• Supervised learning uses neural networks, while unsupervised learning does not.

• Supervised learning requires labeled data, while unsupervised learning finds patterns in unlabeled data.

• Supervised learning is faster than unsupervised learning.

• Unsupervised learning is a type of reinforcement learning.

In the context of AI, what does 'training a model' mean?

• Physically building the robot that will use the AI.

• Providing a computer program with data to help it learn and improve at a specific task.

• Writing the initial code for an AI algorithm.

• Teaching humans how to use an AI system.

Which AI technique is inspired by the structure and function of the human brain?

• Expert Systems

• Natural Language Processing

• Artificial Neural Networks

• Genetic Algorithms

What is a common ethical concern associated with the development of AI?

• AI systems use too much electricity.

• AI systems can be biased based on the data they are trained on.

• AI systems are not powerful enough to be useful.

• AI systems are too expensive for most companies.

An AI program that improves its performance by receiving rewards or penalties for its actions is using:

• Supervised Learning

• Unsupervised Learning

• Reinforcement Learning

• Deep Learning

What does 'computer vision' allow a machine to do?

• Write and debug computer code.

• Understand and speak human languages.

• Derive meaningful information from visual inputs (images and videos).

• Store vast amounts of visual data.

The Turing Test is designed to evaluate a machine's ability to:

• Perform complex mathematical computations.

• Exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human.

• Navigate a physical environment without human intervention.

• Learn from a very small dataset.