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CPMAI · Question #90
Your team is working on a new loan decision model that takes a number of factors and data points into consideration and then automatically approves or denies a loan. After a month in operation…
The correct answer is A. Biased data sets leading to algorithmic discrimination. You've hit your limit · resets 12:50am (America/New_York)
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Question
Your team is working on a new loan decision model that takes a number of factors and data points into consideration and then automatically approves or denies a loan. After a month in operation someone does a review and notices that the system is denying a large number of loans from a certain demographic when all other factors from people in other regions (such as age, salary, and credit score) are the same. What is most likely happening here?
Options
- ABiased data sets leading to algorithmic discrimination
- BGenerative AI models hallucinating data results
- CNothing is wrong, algorithmic decisions will never be 100%
- DData privacy issues leading to data sharing concerns
How the community answered
(53 responses)- A55% (29)
- B6% (3)
- C26% (14)
- D13% (7)
Explanation
You've hit your limit · resets 12:50am (America/New_York)
Topics
#algorithmic bias#fairness#data bias#AI ethics
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