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Salesforce Exam Salesforce AI Associate Topic 3 Question 37 Discussion

Actual exam question for Salesforce's Salesforce AI Associate exam
Question #: 37
Topic #: 3
[All Salesforce AI Associate Questions]

What is one technique to mitigate bias and ensure fairness in AI applications?

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Suggested Answer: A

A technique to mitigate bias and ensure fairness in AI applications is ongoing auditing and monitoring of the data used in AI applications. Regular audits help identify and address any biases that may exist in the data, ensuring that AI models function fairly and without prejudice. Monitoring involves continuously checking the performance of AI systems to safeguard against discriminatory outcomes. Salesforce emphasizes the importance of ethical AI practices, including transparency and fairness, which can be further explored through Salesforce's AI ethics guidelines at Salesforce AI Ethics.


by Dudley at Jan 25, 2025, 06:55 PM

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Lisbeth
2 days ago
I agree with Alfreda. It's important to constantly check the data for bias.
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Ria
11 days ago
Using more examples of minority groups? Sounds a bit like positive discrimination to me. Let's be fair across the board, shall we?
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Alfreda
20 days ago
I think the answer is A) Ongoing auditing and monitoring of data.
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Luke
21 days ago
Excluding data features? Really? That's like trying to fix a leaky faucet by turning off the water supply.
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Jani
2 days ago
C) Using data that contains more examples of minority groups than majority groups
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Martina
6 days ago
A) Ongoing auditing and monitoring of data that is used in AI applications
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Galen
28 days ago
Ongoing auditing and monitoring? That's the obvious choice. Gotta keep a close eye on those AI systems, you know.
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Serina
4 days ago
I agree, we need to make sure the data used is constantly monitored for fairness.
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Mertie
8 days ago
Yes, ongoing auditing is crucial to catch any bias that may arise.
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