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Question 55 - D-GAI-F-01 discussion

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A team is working on mitigating biases in Generative Al.

What is a recommended approach to do this?

A.
Regular audits and diverse perspectives
Answers
A.
Regular audits and diverse perspectives
B.
Focus on one language for training data
Answers
B.
Focus on one language for training data
C.
Ignore systemic biases
Answers
C.
Ignore systemic biases
D.
Use a single perspective during model development
Answers
D.
Use a single perspective during model development
Suggested answer: A

Explanation:

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.

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asked 16/09/2024
Sivakumar Duraimanickam
36 questions
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