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4.3b Can Machines Really Learn?

Authored by Hilary Donahue

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9th - 12th Grade

Used 4+ times

4.3b Can Machines Really Learn?
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9 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a dataset?

A collection of numbers
An organized group of data
A single piece of information
A list of rules for machines

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does 'prediction' mean in the context of machine learning?

A statement about a possible future
A statement about a certain future
A command given to a machine
A guess about the past

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the three main steps machines use to gain intelligence?

Creating, evaluating, and applying
Writing, reading, and speaking
Datasets, algorithms, and predictions
Thinking, planning, and acting

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do people often make predictions, as described in the lesson?

By asking a machine
By randomly guessing
By using prior knowledge
By checking a dictionary

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

You decide to try a new cake because it looks like one you liked before. What are you using to make this decision?

A personal dataset
A machine algorithm
A random guess
A future prediction

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why might an AI's predictions be unfair or inaccurate?

It uses too many algorithms.
It was trained on limited data.
It only makes random guesses.
It was programmed by a machine.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is an artificially intelligent program different from a non-AI tool like an automatic door?

Non-AI tools are never programmed.
Non-AI tools use datasets.
AI programs make their own decisions.
AI programs are always controlled by humans.

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