
Understanding Algorithmic Bias in AI

Interactive Video
•
Computers, Social Studies, Moral Science, Education
•
9th - 12th Grade
•
Hard

Mia Campbell
FREE Resource
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10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main concern with algorithmic bias in AI systems?
It improves data processing speed.
It makes AI systems more efficient.
It reduces the need for human oversight.
It can lead to harmful discrimination.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is an example of hidden bias in training data?
AI systems always make accurate predictions.
AI systems are immune to cultural changes.
AI systems can reflect societal stereotypes.
AI systems require no human intervention.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why might an AI system struggle with recognizing certain features?
Because some features are difficult to measure numerically.
Because AI systems are perfect in data evaluation.
Because AI systems do not require training data.
Because all features are easy to quantify.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a positive feedback loop in the context of AI algorithms?
A loop that decreases algorithm efficiency.
A process that reduces past data influence.
A method to eliminate data bias.
A cycle that amplifies past data patterns.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can data manipulation affect AI systems?
It can lead to biased and harmful outputs.
It makes AI systems more reliable.
It ensures AI systems are error-free.
It has no impact on AI predictions.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a limitation of AI systems like HireMe in making predictions?
They may not clarify the reasons behind predictions.
They are always accurate in their predictions.
They can always explain their predictions.
They are never influenced by past data.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is transparency important in AI algorithms?
To make algorithms more complex.
To understand the reasoning behind AI recommendations.
To ensure algorithms remain secretive.
To reduce the need for human oversight.
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