
AI Quiz: MoS Video
Authored by Arlyn Bruccoli
Instructional Technology
University
Used 11+ times

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8 questions
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1.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
What does AI refer to?
A type of advanced robotics used in manufacturing.
A method for creating virtual reality environments.
A system for encrypting data securely.
A collection of technologies that allow computers to sense, learn, reason, and act.
2.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
What is a key approach in AI that involves recognizing patterns and solving complex problems?
Quantum computing.
Machine learning.
Nanotechnology.
Genetic engineering.
3.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
How do neural networks in machine learning work?
Extract information from training data sets to make predictions.
Predict outcomes without prior training.
Generate random data sets for analysis.
Analyze data without patterns or structure.
4.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
What can AI programs be trained to recognize?
Musical notes in a symphony.
Historical events in world history.
Patterns like identifying images of cats or completing sentences in English.
Geographical locations on a map.
5.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
Why is it challenging to understand the decision-making process of AI algorithms?
AI algorithms have no decision-making capabilities.
AI algorithms always provide detailed explanations.
AI algorithms are too simple to comprehend.
AI algorithms lack transparency in explaining their decision-making process.
6.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
How can AI flaws impact human lives?
By reflecting biases and misconceptions in the data used to train the algorithms.
By improving the accuracy of medical diagnoses.
By reducing crime rates in communities.
By increasing access to educational resources.
7.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
How can bias in AI be reduced?
By excluding certain demographics from AI development.
By using biased data sets intentionally.
By limiting access to AI technologies.
By creating diverse and representative training data sets and having a diverse workforce of AI developers and decision-makers.
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