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Dell EMC Exam D-GAI-F-01 Topic 1 Question 7 Discussion

Actual exam question for Dell EMC's Dell GenAI Foundations Achievement exam
Question #: 7
Topic #: 1
[All Dell GenAI Foundations Achievement Questions]

A team is working on mitigating biases in Generative Al.

What is a recommended approach to do this?

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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:

Lonna
1 months ago
I think focusing on one language may limit the model's ability to detect biases across different languages.
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Laila
1 months ago
B) Focus on one language for training data
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Elenore
1 months ago
I agree with Selma, diverse perspectives can help identify and address biases.
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Ronald
1 months ago
Regular audits and diverse perspectives? Sounds like a recipe for a well-balanced AI diet to me!
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Selma
1 months ago
A) Regular audits and diverse perspectives
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Glory
1 months ago
Use a single perspective during model development? Wow, that's about as useful as a chocolate teapot.
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Aileen
2 months ago
Ignore systemic biases? Yeah, right. That's like trying to fix a flat tire by pretending it's not there.
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Lorrine
20 days ago
A) Regular audits and diverse perspectives
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Phuong
1 months ago
Regular audits and diverse perspectives
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Santos
2 months ago
Focus on one language for training data? Seriously? That's like trying to play 'Where's Waldo' with a blindfold on.
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Brittni
28 days ago
C: Ignoring systemic biases is not a recommended approach for mitigating biases in Generative AI.
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Kenneth
1 months ago
B: Using a single language for training data would definitely not help in addressing biases.
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Casey
1 months ago
A: Regular audits and diverse perspectives are key to mitigating biases in Generative AI.
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Bettina
2 months ago
Regular audits and diverse perspectives? Sounds like a no-brainer to me. Gotta keep those AI models honest, you know!
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Paulina
1 months ago
A) Regular audits and diverse perspectives
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Corrina
1 months ago
Regular audits and diverse perspectives? Sounds like a no-brainer to me. Gotta keep those AI models honest, you know!
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