
Ethics of Artificial Intelligence Quiz
Authored by Adam Logan
Instructional Technology
9th Grade
Used 4+ times

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10 questions
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1.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What is a primary ethical concern regarding the use of facial recognition technology in public spaces?
It can enhance security by identifying wanted criminals.
It may infringe on individuals' privacy rights.
It is always accurate and never misidentifies people.
It can help find missing persons more efficiently.
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Deepfakes can be particularly problematic because:
They are a form of high-quality digital art.
They require expensive software to create.
They can spread misinformation by impersonating public figures.
They are easy to identify and thus pose no real threat.
3.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Which of the following best describes a privacy concern in data analysis?
Data analysis can only be performed on public data.
Individuals have no control over how their data is analyzed.
Data analysis is not useful for making business decisions.
All data analysis is ethical if it benefits the majority.
4.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Bias in AI algorithms can occur due to:
The use of unbiased training data.
Algorithms being inherently neutral.
The data used to train the AI reflecting historical biases.
AI developers intentionally programming biases.
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Which of the following is a potential social impact of AI advancements?
Decreased efficiency in workplaces.
Increased job opportunities in all sectors.
The creation of new forms of art and entertainment.
Widening economic disparities between different social groups.
6.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Regulation of AI technology is important because:
It can prevent innovation and slow down technological progress.
It ensures that AI developments benefit society while minimizing harm.
Only government agencies have the expertise to develop AI.
AI technology is self-regulating and does not need external oversight.
7.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
How can bias in AI algorithms be mitigated?
By using more complex algorithms.
By ensuring the diversity of the development team.
By limiting the use of AI in critical decision-making processes.
By using only synthetic data for training AI models.
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