What was a significant outcome of the early AI program, ELIZA?

It demonstrated that simple pattern matching could make a machine seem intelligent.

Which of the following is a primary ethical concern related to AI systems that learn from public data? Options: The cost of data storage, The time it takes to process the data, Bias in the data that can lead to unfair or discriminatory outcomes, The risk of the AI becoming too intelligent.

Bias in the data that can lead to unfair or discriminatory outcomes.

Which of the following is a potential societal benefit of widespread AI adoption? Options: Increased privacy for individuals. Elimination of all human jobs. Automation of dangerous or repetitive tasks. A decrease in data security.

Automation of dangerous or repetitive tasks.

The Sense-Deliberate-Act cycle is a continuous loop. What happens after the "Act" stage is complete?

The cycle restarts with the "Sense" stage.

What is a key risk associated with the use of AI in law enforcement?

It could perpetuate existing racial or social biases.

What is the main purpose of the "Think-Pair-Share" activity in a classroom setting?

To promote collaboration and peer discussion before sharing with a larger group.

What is the fundamental difference between machine learning and traditional programming?

ML models learn from data without explicit instructions, while traditional programs follow pre-written rules.

You have a dataset of historical weather information, including temperature and rainfall, to predict if it will rain tomorrow. What would be the "label" in this supervised learning scenario?

"Will it rain tomorrow?" (Yes/No).

In supervised learning, the model learns from a dataset that has been:

Labeled with the correct output.

Which of the following is a core characteristic of a supervised learning model? Options: It finds patterns in data without guidance. It learns through a system of rewards and penalties. It uses a labeled training dataset. It requires no data to function.

It uses a labeled training dataset.

Which of the following is an example of a classification problem? - Predicting a person's age. - Forecasting the amount of sales for a company. - Identifying whether an image contains a car or a truck. - Estimating the temperature of a city.

Identifying whether an image contains a car or a truck.

The core idea of supervised learning is that the model:

Learns the relationship between input data and a known output.

Which of the following tasks requires a labeled dataset to be used effectively? Options: Grouping similar news articles. Training a supervised learning model. Training an unsupervised learning model. Training a reinforcement learning model.

Training a supervised learning model.

Which of the following is a regression problem? Options: Determining if an email is spam. Grouping similar customers. Predicting the temperature in a room. Identifying if a face is male or female.

Predicting the temperature in a room.

What is the primary purpose of supervised learning?

To predict future values based on past data.

What is the key characteristic of unsupervised learning?

It learns from a dataset with no labels.

What is the agent in a reinforcement learning scenario?

The AI system that is doing the learning.

What is the purpose of a Training Set in machine learning?

To train the model to learn the relationships in the data.

The Validation Set is primarily used to: Fine-tune the model to prevent overfitting.

Fine-tune the model to prevent overfitting.

Why is it important to split a dataset into training, validation, and test sets?

To ensure the model can generalize to new data and isn't just memorizing the training data.

A reinforcement learning agent is trying to find its way through a maze. What is its goal?

To find the path that maximizes its cumulative reward.

Which of the following best describes the role of data in machine learning? Data is a tool used only for traditional programming., Data is the "fuel" that a machine learning model learns from., Data is only used to evaluate a model's performance., Data is not necessary for most machine learning models.

Data is the "fuel" that a machine learning model learns from.

In a reinforcement learning model, a "penalty" is:

A negative reinforcement signal for an incorrect action.

Which of the following is a classic example of a reinforcement learning problem? An email spam filter. A program that recommends products to a user. A chatbot learning to have a conversation by trying to maximize user engagement. A system that predicts the stock market.

A chatbot learning to have a conversation by trying to maximize user engagement.

What is the purpose of a test set?

To give a final, unbiased evaluation of the model's performance.

Unit 1: Foundations of AI Review

Flashcard

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Instructional Technology

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Professional Development

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Practice Problem

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Hard

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FLASHCARD QUESTION

Front

Which of the following is the most accurate definition of Artificial Intelligence (AI)?
Options:
The study of how computers can mimic human movement.
The field of computer science is dedicated to creating systems that can perform tasks normally requiring human intelligence.
The science of programming robots to perform factory tasks.
The study of using databases to store information.

Back

The field of computer science is dedicated to creating systems that can perform tasks normally requiring human intelligence.

FLASHCARD QUESTION

Front

A vacuum cleaner robot uses its sensors to detect a wall. This action is an example of which stage in the Sense-Deliberate-Act cycle?

Back

Sense

FLASHCARD QUESTION

Front

A chess-playing computer analyzes the board and calculates the optimal move to win the game. This action is an example of which stage in the Sense-Deliberate-Act cycle?

Back

Deliberate

FLASHCARD QUESTION

Front

A factory robot lifts a car door and moves it to the assembly line. This action is an example of which stage in the Sense-Deliberate-Act cycle?

Back

Act

FLASHCARD QUESTION

Front

What is the main purpose of the Turing Test?

Back

To determine if a machine can exhibit intelligent behavior indistinguishable from a human.

FLASHCARD QUESTION

Front

Which of the following is an example of a system exhibiting intelligent behavior? A. A web browser saving a user's password. B. A word processor automatically correcting spelling errors. C. A calculator adding a list of numbers. D. A streaming service recommending a new movie based on your viewing history.

Back

A streaming service recommending a new movie based on your viewing history.

FLASHCARD QUESTION

Front

Which of the following best describes the difference between "knowledge" and "knowing" in an AI context?

Back

Knowledge is the information an AI has; knowing is the AI's ability to apply that information.

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