Algorithmic Bias and Data Ethics Quiz

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Algorithmic Bias and Data Ethics: a General level Artificial Intelligence quiz. Test your knowledge with 14 questions!
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Question 1
If training data contains historical discrimination, what will the AI likely do?
A Correct it automatically
B Delete the data
C Ignore it completely
D Replicate or amplify it
Question 2
Which factor is a common cause of bias in AI models?
A Fast processor speeds
B Unrepresentative datasets
C High electricity usage
D Too much open-source code
Question 3
Why is 'garbage in, garbage out' a relevant phrase in AI?
A Models reflect input data
B AI is bad at math
C Hardware needs cleaning
D AI creates trash
Question 4
What is a consequence of biased AI in hiring systems?
A Exclusion of qualified people
B Faster hiring processes
C Lower electricity costs
D Fairer candidate selection
Question 5
Bias in facial recognition systems often leads to what?
A Perfect identification
B Higher error rates for minorities
C Better image quality
D Lower battery usage

๐Ÿ“‹ This quiz has 14 questions in total.

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