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FATE Awareness Quiz
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Quiz Questions
Which variable correlate with Perception of Algorithmic Fairness?
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1 point
Demographics
System's outcome
Computer Literacy
All of the above
What would be a possible cause of unfairness according to the young developers?
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1 point
User's Input
Provide explanations
Use of sensitive attributes
Use more training data
Young developers who believed the decision-making process was not fair would also not trust the system’s decision more than a human’s decision.
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1 point
True
False
The most discussed method by young developers for making a system more Transparent was
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1 point
Explaining the Algorithm
Auditing Models
Explaining the Output
Removing the Sensitive Data
Young developers believe that in a case a system they develop behaves unfairly to a certain group
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1 point
Their team should be held accountable
The system should be held accountable
Both the system and their team should be held accountable
Neither the system or their team should be held accountable
Which part of an algorithmic system can be affected by "Algorithmic Bias"?
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1 point
Input
Training Data
Algorithmic Model
Output
Which type of formal solution can be implied on Training Data to mitigate the discrimination and bias occur in a system?
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1 point
Fairness Sampling
Fairness Learning
Autiding
Fairness Formalization
According to end users the most important fairness features is
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1 point
Distributive fairness
Procedural fairness
Group fainess
Interactional fairness
All type of explanations are equally effective in supporting users to distinguish fair and unfair ML models.
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1 point
True
False
The results win/lose of a game influence negative the perception of users of AI players.
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1 point
True
False
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