Algorithmic Bias and Fairness
Interactive Video
•
Information Technology (IT), Architecture, Mathematics
•
11th Grade - University
•
Practice Problem
•
Hard
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main concern with algorithmic bias in AI systems?
It improves the accuracy of AI predictions.
It makes AI systems more efficient.
It reduces the need for human oversight.
It can lead to unfair treatment of certain groups.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can training data contribute to algorithmic bias?
By reflecting hidden societal biases.
By being too diverse.
By being too recent.
By being too small in size.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a positive feedback loop in the context of AI algorithms?
A process that reduces errors over time.
A cycle that amplifies past data patterns.
A method to improve algorithm transparency.
A way to decrease algorithmic bias.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What happened to Microsoft's Tay bot after its release?
It became a successful customer service tool.
It was manipulated to post inappropriate content.
It was used to improve language translation.
It was integrated into Microsoft's main products.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a potential consequence of algorithmic bias in hiring systems?
Improved employee retention rates.
Increased diversity in the workplace.
Higher employee satisfaction.
Discrimination against certain names or groups.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is transparency important in AI algorithms?
To increase the complexity of AI systems.
To reduce the cost of AI development.
To understand the reasoning behind AI decisions.
To make algorithms faster.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a challenge in reducing bias in AI systems?
Improving the user interface of AI systems.
Reducing the size of AI models.
Increasing the speed of AI processing.
Collecting more data on protected classes.
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