How can governments regulate AI without limiting innovation?

By creating balanced policies that protect rights

What is meant by a “black box” in AI?

A system whose decision-making is unclear

Why is protecting personal data essential in AI systems?

To ensure legal compliance and ethical use

Who should be held accountable when AI systems make harmful decisions?

The developer or organization behind it

Why is inclusive training data important in AI development?

It ensures fair and unbiased decisions

How can AI systems become biased?

They are based on biased training data

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Ethical Issues and Opportunities in Artificial Intelligence

10 termsStudBud Administration3 plays

Test your knowledge on the ethical concerns and opportunities of Artificial Intelligence! This Quiz covers AI bias, privacy, transparency, regulation, and real-world applications. Perfect for students exploring the impact of AI on society.

Flashcards10 cardsFPractice quizPHost liveL

Questions 10

Answers

1
What ethical concern is raised by facial recognition technology?
System updates
Privacy and surveillance
Slow performance
Financial cost
2
What is one way AI can help the environment?
Track global markets
Eliminate agriculture
Replace fossil fuels
Optimize resource use
3
How can governments regulate AI without limiting innovation?
By creating balanced policies that protect rights
By allowing AI to operate freely
By banning all AI usage
By leaving it up to tech companies
4
Which book warns about data-driven inequality?
The Singularity is Near
The AI Advantage
Weapons of Math Destruction
Thinking, Fast and Slow
5
What is meant by a “black box” in AI?
A system with hidden biases
A system whose decision-making is unclear
An AI system built by hackers
An AI that is always offline
6
Why is protecting personal data essential in AI systems?
To save money
To make ads more effective
To meet company goals
To ensure legal compliance and ethical use
7
What role does transparency play in AI?
It speeds up decision-making
It helps gain public trust
It avoids regulation
It makes AI more expensive
8
Who should be held accountable when AI systems make harmful decisions?
The developer or organization behind it
The AI itself
No one
The user of the system
9
Why is inclusive training data important in AI development?
It increases the AI's speed
It prevents the need for human oversight
It reduces transparency
It ensures fair and unbiased decisions
10
How can AI systems become biased?
They are only used by certain groups
They operate independently of humans
They are based on biased training data
They avoid human decision-making

Ethical Issues and Opportunities in Artificial Intelligence Flashcards | StudBud

Ethical Issues and Opportunities in Artificial Intelligence

10 termsStudBud Administration3 plays

Flashcards10 cardsFPractice quizPHost liveL

Questions 10

Answers

1
What ethical concern is raised by facial recognition technology?
System updates
Privacy and surveillance
Slow performance
Financial cost
2
What is one way AI can help the environment?
Track global markets
Eliminate agriculture
Replace fossil fuels
Optimize resource use
3
How can governments regulate AI without limiting innovation?
By creating balanced policies that protect rights
By allowing AI to operate freely
By banning all AI usage
By leaving it up to tech companies
4
Which book warns about data-driven inequality?
The Singularity is Near
The AI Advantage
Weapons of Math Destruction
Thinking, Fast and Slow
5
What is meant by a “black box” in AI?
A system with hidden biases
A system whose decision-making is unclear
An AI system built by hackers
An AI that is always offline
6
Why is protecting personal data essential in AI systems?
To save money
To make ads more effective
To meet company goals
To ensure legal compliance and ethical use
7
What role does transparency play in AI?
It speeds up decision-making
It helps gain public trust
It avoids regulation
It makes AI more expensive
8
Who should be held accountable when AI systems make harmful decisions?
The developer or organization behind it
The AI itself
No one
The user of the system
9
Why is inclusive training data important in AI development?
It increases the AI's speed
It prevents the need for human oversight
It reduces transparency
It ensures fair and unbiased decisions
10
How can AI systems become biased?
They are only used by certain groups
They operate independently of humans
They are based on biased training data
They avoid human decision-making