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Salesforce Exam Salesforce-AI-Associate Topic 2 Question 25 Discussion

Actual exam question for Salesforce's Salesforce Certified AI Associate exam
Question #: 25
Topic #: 2
[All Salesforce Certified 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 Silvana at Aug 08, 2024, 05:11 PM

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Levi
12 days ago
As a data scientist, I can tell you that the only way to ensure true fairness is to include a diversity of perspectives. This exam question is like a riddle wrapped in an enigma, wrapped in a burrito. Delicious, but complex!
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Mattie
14 days ago
I think using data with more examples of minority groups, like option C, can help ensure fairness in AI applications.
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Dominque
15 days ago
Using data with more minority examples? That's an interesting approach, but I wonder if it might introduce its own set of biases. Tricky stuff, this AI fairness business.
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Blondell
4 days ago
A) Ongoing auditing and monitoring of data that is used in AI applications
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Celeste
18 days ago
Excluding certain data features to benefit a population? Hmm, that sounds a bit too targeted for my liking. Fairness is all about the big picture.
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Katie
8 days ago
A) Ongoing auditing and monitoring of data that is used in AI applications
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Louis
22 days ago
I believe option B) Excluding data features is not the best approach as it may lead to further bias.
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Leota
25 days ago
I agree with Janna. It's important to constantly check and review the data used in AI applications.
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Janna
26 days ago
I think the technique to mitigate bias is A) Ongoing auditing and monitoring of data.
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Renea
29 days ago
Ongoing auditing and monitoring of data is crucial to identify and address biases. Gotta keep those AI algorithms honest!
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German
12 days ago
A) Ongoing auditing and monitoring of data that is used in AI applications
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