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Salesforce Exam Salesforce AI Associate Topic 4 Question 35 Discussion

Actual exam question for Salesforce's Salesforce AI Associate exam
Question #: 35
Topic #: 4
[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 Rosendo at Dec 11, 2024, 06:43 AM

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Ashley
4 days ago
Ooh, I bet the answer is 'All of the above' - that's always the safe choice, right? Just kidding, just kidding. Gotta keep those AI models in check, though.
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Mohammad
15 days ago
Using more data on minority groups? Now that's an interesting idea. But I wonder if it would just create a new kind of bias. Hmm, tough choice.
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Mose
1 days ago
A) Ongoing auditing and monitoring of data that is used in AI applications
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Carman
22 days ago
Excluding data features? Sounds like a quick fix, but we all know that can lead to other problems. Better to get that data in order first.
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Carisa
3 days ago
B) Excluding data features from the AI application to benefit a population
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Anastacia
9 days ago
A) Ongoing auditing and monitoring of data that is used in AI applications
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Reita
27 days ago
I think excluding data features from the AI application to benefit a population could also help in mitigating bias.
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Laquanda
28 days ago
I believe option C) Using data that contains more examples of minority groups is also a good technique to ensure fairness.
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Samira
1 months ago
Ongoing auditing and monitoring of data is the way to go. Gotta keep an eye on those AI models to make sure they're not biased, you know?
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Alishia
16 days ago
B) Excluding data features from the AI application to benefit a population
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Darell
18 days ago
That's right, we need to constantly check the data to ensure fairness.
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Shanice
19 days ago
A) Ongoing auditing and monitoring of data that is used in AI applications
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Ivory
1 months ago
I agree with Lisha. It's important to regularly check the data for bias.
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Lisha
1 months ago
I think the answer is A) Ongoing auditing and monitoring of data.
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