Which two scenarios are most likely to be the result of algorithmic bias?
A. The résumé of a female candidate who is qualified for a job is
scored lower than the résumés of her male counterparts.
B. Algorithms that screen patients for heart problems automatically
adjust points for risk based on race.
C. A person is rejected for a loan because they don't have enough
money in their bank accounts.
D. A student fails a class because they didn't turn in their
assignments on time and scored low on tests.

Question

21-12-2022
Computers and Technology

Answered

Which two scenarios are most likely to be the result of algorithmic bias?
A. The résumé of a female candidate who is qualified for a job is
scored lower than the résumés of her male counterparts.
B. Algorithms that screen patients for heart problems automatically
adjust points for risk based on race.
C. A person is rejected for a loan because they don't have enough
money in their bank accounts.
D. A student fails a class because they didn't turn in their
assignments on time and scored low on tests.

Answer :

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RupaBera RupaBera · Answer 1 · 2022-12-22T02:57:59-05:00

A phenomenon known as "machine learning bias," often referred to as "algorithm bias" or "artificial intelligence bias," occurs when an algorithm produces results that are routinely prejudiced as a result of incorrect assumptions established during the machine learning process.

What are the two primary types of bias in AI?

In AI, bias comes in two flavors. One type is "data bias," in which algorithms are taught on skewed data. The second type of AI bias is societal AI bias.

Why does algorithmic bias occur?

Input bias, training bias, and programming bias are the three basic causes of algorithmic prejudice. 20 In contrast, algorithmic results that are frequently referred to as "biased" may merely reflect unfavorable truths based on causal links drawn from trustworthy representative data.

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