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AI, Equity, and Environmental Impact Quiz

Total questions: 26

Worksheet time: 13mins

Name
Class
Date
1.

What is a key concern about AI in education?

a)

AI makes learning less engaging

b)

AI can reinforce existing biases and inequities

c)

AI will replace teachers completely

d)

AI will eliminate standardized testing

2.

Which of the following best defines algorithmic bias?

a)

AI always making errors in calculations

b)

AI making decisions based on incomplete or biased data

c)

AI being too complex for most educators to understand

d)

AI being unable to improve learning outcomes

3.

What is a major reason AI exhibits bias?

a)

AI systems learn from biased training data

b)

AI is programmed to be unfair

c)

AI does not have enough computing power

d)

AI developers intentionally create bias

4.

Why is AI access an equity issue in education?

a)

Some schools and students have access to AI, while others do not

b)

AI only works in well-funded districts

c)

AI is too expensive for all teachers to use

d)

AI cannot be used in rural areas

5.

Which of the following is an example of programmer bias?

a)

AI not recognizing slang words

b)

AI image generators often depicting doctors as male

c)

AI failing to correct grammar mistakes in student writing

d)

AI struggling to understand different accents

6.

How does AI impact the environment?

a)

AI helps reduce energy consumption worldwide

b)

AI requires vast amounts of energy, increasing carbon emissions

c)

AI has no environmental impact since it is digital

d)

AI is entirely powered by renewable energy sources

7.

Why do some experts believe AI will increase global energy consumption by 160% by 2030?

a)

More AI-powered robots will be in use

b)

AI models require significant computational power to operate

c)

AI development will slow down, leading to inefficient energy use

d)

AI is designed to replace traditional electricity sources

8.

Which of the following is an unintended consequence of AI in education?

a)

AI makes students more engaged in learning

b)

AI automates grading, giving teachers more free time

c)

AI may reinforce systemic inequities in schools

d)

AI completely eliminates the need for teachers

9.

What is a major concern regarding AI-driven student assessments?

a)

AI may unfairly categorize students based on biased historical data

b)

AI assessments are always more accurate than human grading

c)

AI eliminates the need for teacher feedback

d)

AI cannot track student progress over time

10.

What is a primary concern about AI-powered plagiarism detection tools?

a)

They collect student writing without consent

b)

They help students cheat more easily

c)

They are always 100% accurate

d)

They prevent students from improving their writing

11.

How does AI contribute to the digital divide?

a)

AI replaces human educators in underserved communities

b)

AI creates a gap in access between wealthy and low-income schools

c)

AI is only available in online courses

d)

AI makes learning less engaging for all students

12.

Which of the following statements about AI’s water consumption is true?

a)

AI requires very little water to function

b)

AI data centers use large amounts of water for cooling

c)

AI reduces the need for water consumption in schools

d)

AI has no connection to water resources

13.

Why is it important for students and educators to understand AI’s impact on decision-making?

a)

AI can influence important educational opportunities, such as class placement and disciplinary actions

b)

AI always makes fair and unbiased decisions

c)

AI decisions are random and unpredictable

d)

AI is only used for grading, not decision-making

14.

How can AI reinforce gender stereotypes in education?

a)

AI may suggest different books or career paths for students based on gender

b)

AI makes decisions without considering gender

c)

AI is programmed to be neutral in all cases

d)

AI ensures all genders receive the same treatment

15.

What is one major challenge in making AI more equitable in education?

a)

The lack of diverse representation in AI development and training

b)

AI is too advanced for students to understand

c)

AI companies refuse to provide tools for education

d)

AI makes learning more difficult for all students

16.

Which of the following is an example of algorithmic bias?

a)

AI making accurate predictions based on diverse datasets

b)

AI suggesting college scholarships only to students with certain last names

c)

AI improving its accuracy over time

d)

AI correctly identifying objects in photos

17.

Which of the following is an example of training data bias?

a)

AI recommending movies based on past viewing history

b)

AI speech recognition software struggling with non-American English accents

c)

AI translating languages with perfect accuracy

d)

AI correcting grammar in student essays

18.

Which of the following is an example of automation reinforcing inequality?

a)

AI helping teachers grade assignments fairly

b)

AI-generated resumes being sorted based on zip codes, favoring wealthier areas

c)

AI improving online search results for students

d)

AI recommending books based on user preferences

19.

Which of the following is an example of AI bias affecting law enforcement?

a)

AI incorrectly identifying people of color at higher rates in facial recognition

b)

AI helping police track crime trends fairly

c)

AI ensuring equal surveillance in all communities

d)

AI accurately predicting future crime patterns without bias

20.

Which of the following is an example of AI increasing surveillance risks?

a)

AI-powered cameras tracking students' movements without their knowledge

b)

AI protecting student privacy with strict data policies

c)

AI only storing data when students provide consent

d)

AI being used in schools without collecting personal information

21.

Which of the following is an example of AI’s energy consumption becoming a long-term concern?

a)

AI reducing global electricity demand

b)

AI increasing global energy consumption by 160% by 2030

c)

AI completely eliminating fossil fuel usage

d)

AI requiring less energy than traditional computing methods

22.

Which of the following is an example of how AI can both help and harm the environment?

a)

AI reducing waste management efficiency

b)

AI improving climate change models while increasing energy demand

c)

AI eliminating carbon emissions entirely

d)

AI stopping all forms of pollution

23.

which term describes the hidden workforce performing tasks that companies present as being done by AI?

a)

Shadow Employment

b)

Ghost Work

c)

Covert Contracting

d)

Virtual Work

24.

Which tech giant is specifically mentioned as having a platform called “Mechanical Turk” that connects companies to workers willing to perform tasks for low pay?

a)

Apple

b)

Amazon

c)

Walmart

d)

Google

25.

What is one major challenge faced by ghost workers

a)

They are guaranteed high wages that discourage employers from hiring them.

b)

They lack internet access and cannot log in to complete tasks.

c)

They often lose access to accumulated earnings if there is an identity verification issue.

d)

They are provided with extensive healthcare benefits but no salaries.

26.

Why might companies prefer presenting human-powered tasks as automated AI processes?

a)

It ensures workers earn higher wages and have better job security.

b)

It maintains the illusion of cutting-edge technology and attracts investors.

c)

It is required by law in many tech-friendly countries.

d)

It reduces public trust and forces more regulations on the company.