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Dell EMC Exam D-GAI-F-01 Topic 4 Question 13 Discussion

Actual exam question for Dell EMC's D-GAI-F-01 exam
Question #: 13
Topic #: 4
[All D-GAI-F-01 Questions]

A team is working on mitigating biases in Generative Al.

What is a recommended approach to do this?

Show Suggested Answer Hide Answer
Suggested Answer: A

Mitigating biases in Generative AI is a complex challenge that requires a multifaceted approach. One effective strategy is to conduct regular audits of the AI systems and the data they are trained on. These audits can help identify and address biases that may exist in the models. Additionally, incorporating diverse perspectives in the development process is crucial. This means involving a team with varied backgrounds and viewpoints to ensure that different aspects of bias are considered and addressed.

The Dell GenAI Foundations Achievement document emphasizes the importance of ethics in AI, including understanding different types of biases and their impacts, and fostering a culture that reduces bias to increase trust in AI systems12. It is likely that the document would recommend regular audits and the inclusion of diverse perspectives as part of a comprehensive strategy to mitigate biases in Generative AI.

Focusing on one language for training data (Option B), ignoring systemic biases (Option C), or using a single perspective during model development (Option D) would not be effective in mitigating biases and, in fact, could exacerbate them. Therefore, the correct answer is A. Regular audits and diverse perspectives.


Contribute your Thoughts:

Deangelo
2 months ago
A single perspective during model development? That's like building a house with one hand tied behind your back.
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Elenor
2 months ago
Ignore systemic biases? Are you kidding me? That's like trying to ignore gravity.
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Janey
2 months ago
Focus on one language for training data? Nah, that's just gonna create a whole new set of problems.
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Freida
9 days ago
D) Using a single perspective during model development can lead to biased outcomes.
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Vivan
19 days ago
A) Regular audits and diverse perspectives are important to mitigate biases.
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Danilo
1 months ago
B) Focus on one language for training data? That doesn't sound like a good idea.
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Albina
1 months ago
A) Regular audits and diverse perspectives
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Ora
2 months ago
Regular audits and diverse perspectives? Sounds like the way to go! Gotta keep those biases in check.
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Bernardo
24 days ago
A) Regular audits and diverse perspectives
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Lorita
1 months ago
Regular audits and diverse perspectives? Sounds like the way to go! Gotta keep those biases in check.
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Maryanne
2 months ago
A single perspective during model development? That's like building a house with one hand tied behind your back.
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Barrett
2 months ago
Ignore systemic biases? Are you kidding me? That's like trying to ignore gravity.
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Jill
29 days ago
A) Regular audits and diverse perspectives
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Lauran
1 months ago
B) Focus on one language for training data
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Herminia
2 months ago
A) Regular audits and diverse perspectives
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Salina
2 months ago
I disagree. I think we should focus on one language for training data to avoid biases.
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Tequila
2 months ago
I agree with Elenore. It's important to have diverse perspectives to mitigate biases.
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Elenore
3 months ago
I think the recommended approach is A) Regular audits and diverse perspectives.
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Sanda
3 months ago
Focus on one language for training data? Nah, that's just gonna create a whole new set of problems.
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Alecia
2 months ago
A) Regular audits and diverse perspectives are important to mitigate biases.
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Angelo
2 months ago
B) Focus on one language for training data? That doesn't sound like a good idea.
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Sue
2 months ago
A) Regular audits and diverse perspectives
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Annabelle
3 months ago
Regular audits and diverse perspectives? Sounds like the way to go! Gotta keep those biases in check.
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Carylon
1 months ago
A) Regular audits and diverse perspectives
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Rolland
2 months ago
Regular audits and diverse perspectives? Sounds like the way to go! Gotta keep those biases in check.
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