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Question 94 - Certified AI Associate discussion

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Which action introduces bias in the training data used for AI algorithms?

A.

Using a large dataset that is computationally expensive

Answers
A.

Using a large dataset that is computationally expensive

B.

Using a dataset that represents diverse perspectives and populations

Answers
B.

Using a dataset that represents diverse perspectives and populations

C.

Using a dataset that underrepresents perspectives and populations

Answers
C.

Using a dataset that underrepresents perspectives and populations

Suggested answer: C

Explanation:

Introducing bias in training data for AI algorithms occurs when the dataset used underrepresents certain perspectives and populations. This type of bias can skew AI predictions, making the system less fair and accurate. For example, if a dataset predominantly contains information from one demographic group, the AI's performance may not generalize well to other groups, leading to biased or unfair outcomes. Salesforce discusses the impact of biased training data and ways to mitigate this in their AI ethics guidelines, which can be explored further in the Salesforce AI documentation on Responsible Creation of AI.

asked 13/11/2024
Ignacio Negrete
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