AI, Equity, and Environmental Impact Quiz

What is a key concern about AI in education?

• AI makes learning less engaging

• AI can reinforce existing biases and inequities

• AI will replace teachers completely

• AI will eliminate standardized testing

Which of the following best defines algorithmic bias?

• AI always making errors in calculations

• AI making decisions based on incomplete or biased data

• AI being too complex for most educators to understand

• AI being unable to improve learning outcomes

What is a major reason AI exhibits bias?

• AI systems learn from biased training data

• AI is programmed to be unfair

• AI does not have enough computing power

• AI developers intentionally create bias

Why is AI access an equity issue in education?

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

• AI only works in well-funded districts

• AI is too expensive for all teachers to use

• AI cannot be used in rural areas

Which of the following is an example of programmer bias?

• AI not recognizing slang words

• AI image generators often depicting doctors as male

• AI failing to correct grammar mistakes in student writing

• AI struggling to understand different accents

How does AI impact the environment?

• AI helps reduce energy consumption worldwide

• AI requires vast amounts of energy, increasing carbon emissions

• AI has no environmental impact since it is digital

• AI is entirely powered by renewable energy sources

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

• More AI-powered robots will be in use

• AI models require significant computational power to operate

• AI development will slow down, leading to inefficient energy use

• AI is designed to replace traditional electricity sources

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

• AI makes students more engaged in learning

• AI automates grading, giving teachers more free time

• AI may reinforce systemic inequities in schools

• AI completely eliminates the need for teachers

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

• AI may unfairly categorize students based on biased historical data

• AI assessments are always more accurate than human grading

• AI eliminates the need for teacher feedback

• AI cannot track student progress over time

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

• They collect student writing without consent

• They help students cheat more easily

• They are always 100% accurate

• They prevent students from improving their writing