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).
AIforHe Vocabulary Practice

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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
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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