Artificial Narrow Intelligence (ANI) is best described as:

AI specialized in one or a limited set of tasks.

In the context of AI, what is an "algorithm"?

A set of rules or step-by-step instructions used to build/train an AI model

Deep Learning is a subset of Machine Learning that primarily uses:

Artificial Neural Networks with multiple layers.

Garbage in, garbage out (GIGO) in the context of AI primarily emphasizes the importance of:

The quality and integrity of the training data.

Which of these is an example of "Unstructured Data"?

Text from customer reviews on an e-commerce site.

Which of these is NOT a primary source of AI bias as discussed?

The brand of computer hardware used to run the AI

Which of the following is a critical ethical consideration in AI development?

Ensuring AI models are only trained on very small datasets.

What does the term "Inference" refer to in the AI lifecycle?

The process of using a trained AI model to make predictions on new data.

The "First AI Winter" in the mid-1970s to early 1980s was primarily characterized by:

Limited computing power and unmet expectations stalling progress.

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Demystifying AI

14 termsStudBud Administration19 plays

Test your knowledge on the basics of Artificial Intelligence with questions about terminology, historical events, bias, and more.

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Questions 14

Answers

1
Artificial Narrow Intelligence (ANI) is best described as:
AI with human-like consciousness and emotions.
AI specialized in one or a limited set of tasks.
AI that can perform any intellectual task a human can.
AI that is more intelligent than all of humanity combined.
2
The process of feeding data to an AI model to enable it to learn patterns and improve its performance is known as:
Algorithm
Training
Deployment
Inference
3
If an AI model is "taught"using examples where each input is paired with a correct output,what type of learning is this?
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Observational Learning
4
In the context of AI, what is an "algorithm"?
A large collection of training data.
The physical hardware an AI runs on.
The final prediction made by an AI model.
A set of rules or step-by-step instructions used to build/train an AI model
5
Deep Learning is a subset of Machine Learning that primarily uses:
Artificial Neural Networks with multiple layers.
Simple rule-based logic.
Statistical regression techniques only.
Expert systems with knowledge bases.
6
Identifying if an email is 'spam' or 'not spam' is an example of what kind of AI task?
Reinforcement Learning
Clustering
Regression
Classification
7
The historical event widely considered the 'birth of AI' where the term "Artificial Intelligence" was coined is:
The invention of the Turing Test.
The rise of Expert Systems.
The first AI Winter.
The 1956 Dartmouth Workshop.
8
Garbage in, garbage out (GIGO) in the context of AI primarily emphasizes the importance of:
The quality and integrity of the training data.
Having very fast computers.
Using the most complex algorithms.
The number of people working on the AI project.
9
Which of these is an example of "Unstructured Data"?
A customer database with clearly defined fields for name, address, and age.
Sales figures organized in a spreadsheet.
Text from customer reviews on an e-commerce site.
Employee salaries listed in a company's payroll system.
10
Which of these is NOT a primary source of AI bias as discussed?
The brand of computer hardware used to run the AI
Flaws in the AI algorithm's design
Human biases from the developers or users
Biased training datasets
11
Which of the following is a critical ethical consideration in AI development?
Ensuring AI models are only trained on very small datasets.
Making AI algorithms as complex as possible to understand.
Preventing AI from becoming too efficient at its tasks.
Ensuring fairness and non-discrimination in AI outputs.
12
What is the broadest, most all-encompassing term among these options?
Machine Learning
Deep Learning
Artificial Intelligence
Neural Network
13
What does the term "Inference" refer to in the AI lifecycle?
The process of designing the AI algorithm.
The process of teaching an AI model using labeled data.
The process of collecting and cleaning data.
The process of using a trained AI model to make predictions on new data.
14
The "First AI Winter" in the mid-1970s to early 1980s was primarily characterized by:
Unlimited funding for AI research projects.
Limited computing power and unmet expectations stalling progress.
The invention of Large Language Models.
Rapid advancements in AI surpassing all expectations.

Demystifying AI Flashcards | StudBud