NVIDIA NCA-GENL Exam - Topic 7 Question 12 Discussion

Actual exam question for NVIDIA's NCA-GENL exam

Question #: 12
Topic #: 7

[All NCA-GENL Questions]

Which aspect in the development of ethical AI systems ensures they align with societal values and norms?

AAchieving the highest possible level of prediction accuracy in AI models.

BImplementing complex algorithms to enhance AI's problem-solving capabilities.

CDeveloping AI systems with autonomy from human decision-making.

DEnsuring AI systems have explicable decision-making processes.

Show Suggested Answer

Suggested Answer: D

Ensuring explicable decision-making processes, often referred to as explainability or interpretability, is critical for aligning AI systems with societal values and norms. NVIDIA's Trustworthy AI framework emphasizes that explainable AI allows stakeholders to understand how decisions are made, fostering trust and ensuring compliance with ethical standards. This is particularly important for addressing biases and ensuring fairness. Option A (prediction accuracy) is important but does not guarantee ethical alignment. Option B (complex algorithms) may improve performance but not societal alignment. Option C (autonomy) can conflict with ethical oversight, making it less desirable.

NVIDIA Trustworthy AI: https://www.nvidia.com/en-us/ai-data-science/trustworthy-ai/

by Belen at Nov 20, 2025, 01:43 PM

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Corrie

1 month ago

B sounds cool, but it doesn't address ethics directly.

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Haley

1 month ago

C worries me. Autonomy can lead to ethical issues.

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Brice

2 months ago

A is important too, but accuracy alone isn't enough.

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Lilli

2 months ago

Agreed! Without explainability, trust is lost.

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Catarina

2 months ago

I think D is the best choice. Clear decisions matter.

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Larae

2 months ago

Not sure if D is enough to align with societal values.

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Joana

2 months ago

B sounds cool, but it doesn't really address ethics.

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Salome

3 months ago

Wait, can AI really be autonomous without human input?

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Deeanna

3 months ago

I think A is more important for real-world applications.

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Alita

3 months ago

D is definitely the way to go!

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Lourdes

3 months ago

D all the way. We need to understand how these AI systems make decisions.

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Sean

4 months ago

Haha, I bet the algorithm developers would choose B. But D is clearly the right answer.

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Jenise

4 months ago

I'm going with D. Opaque AI systems are a recipe for disaster.

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Amos

4 months ago

Definitely D. Transparency and accountability are crucial for ethical AI.

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Douglass

4 months ago

I feel like we discussed how prediction accuracy is important, but it doesn’t really address societal values directly. D seems to fit better with what we learned.

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Twana

4 months ago

I’m a bit confused. I thought autonomy was important too, but maybe that leads to issues with accountability? I’m leaning towards D as well.

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Eleni

4 months ago

I remember a practice question that focused on ethical AI, and I think it emphasized the importance of transparency. So, D could be the right choice.

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Mohammad

5 months ago

I think the answer is D. Ensuring the AI can explain its reasoning is key to building trust and verifying it's behaving ethically. The other options seem more focused on technical capabilities rather than the ethical dimension.

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Kristal

5 months ago

I'm a bit confused on this one. Isn't autonomy from human decision-making a key part of ethical AI? Or is that not the right approach? I'll have to think this through more.

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Melda

5 months ago

D) Ensuring AI systems have explicable decision-making processes is key to aligning them with societal values.

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Chana

5 months ago

I think the answer might be D, but I’m not entirely sure. We talked about explainability in class, and it seems crucial for aligning with societal values.

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Lindsey

6 months ago

D aligns with societal values. We need transparency.

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Norah

6 months ago

Definitely option D. Developing AI with transparency and accountability is critical for ethical alignment. The other options don't really address the core issue of values and norms.

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Barabara

6 months ago

Hmm, I'm not sure. Achieving high prediction accuracy seems important too, so the AI can make reliable decisions. But the explicability aspect is probably the most crucial.

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Rodrigo

6 months ago

I think the key here is ensuring the AI has an explicable decision-making process. That way we can understand how it's reaching its conclusions and make sure they align with societal values.

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