AIforHe Vocabulary Practice

AIforHe Vocabulary Practice

University

12 Qs

quiz-placeholder

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AIforHe Vocabulary Practice

AIforHe Vocabulary Practice

Assessment

Quiz

Other

University

Hard

Created by

psga8791 psga8791

FREE Resource

12 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The use of math, computer science, and cognitive science to mimic human behavior through various technologies. At present, all AI is narrow, or task-specific (AI Guide for Government, 2024).

Artificial Intelligence

Generative AI

Machine Learning

Computer Vision

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The general ability to reason, think, and perceive as humans do when presented with complex situations. This is currently not possible with AI (AI Guide for Government, 2024).

Generative AI

Machine Learning

Artificial General Intelligence

Artificial Intelligence

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The use of AI to create, or generate, content in response to a prompt inputted by the user.

Artificial Intelligence

Data Science

Computer Vision

Generative AI

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The field and practice of using algorithms that can “learn” by extracting patterns from a large body of data–includes supervised learning, unsupervised learning, and reinforcement learning (AI Guide for Government, 2024).

Data Science

Deep Learning

Machine Learning

Natural Language Processing

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The process where we train computers to identify similarities and differences in specific data sets.  

Supervised Learning

Unsupervised Learning

Reinforcement Learning

Deep Learning

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The process where we provide computers with a range of data and allow them to identify patterns without any specific instructions.

Supervised Learning

Unsupervised Learning

Reinforcement Learning

Deep Learning

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A software training technique where the software makes decisions to achieve the best results. This mimics trial-and-error learning.

Supervised Learning

Unsupervised Learning

Reinforcement Learning

Deep Learning

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