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Oracle Exam 1Z0-1122-24 Topic 6 Question 11 Discussion

Actual exam question for Oracle's 1Z0-1122-24 exam

Question #: 11
Topic #: 6

[All 1Z0-1122-24 Questions]

Which AI Ethics principle leads to the Responsible AI requirement of transparency?

AExplicability

BPrevention of harm

CRespect for human autonomy

DFairness

Show Suggested Answer

Suggested Answer: A

Explicability is the AI Ethics principle that leads to the Responsible AI requirement of transparency. This principle emphasizes the importance of making AI systems understandable and interpretable to humans. Transparency is a key aspect of explicability, as it ensures that the decision-making processes of AI systems are clear and comprehensible, allowing users to understand how and why a particular decision or output was generated. This is critical for building trust in AI systems and ensuring that they are used responsibly and ethically.

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by Lucy at Oct 18, 2024, 02:06 AM

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Jacqueline

19 days ago

Ah, the age-old question: 'To be, or not to be... transparent?' Sorry, couldn't resist the Shakespeare pun!

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Dalene

3 days ago

A) Explicability

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Leonida

1 months ago

Prevention of harm? I mean, I guess that could work, but it feels like a bit of a stretch.

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Cheryl

5 days ago

C) Respect for human autonomy

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Karol

6 days ago

B) Prevention of harm

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Tennie

7 days ago

A) Explicability

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Carlee

1 months ago

I agree with Gary, because transparency requires the AI system to be understandable and explainable.

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Carmela

1 months ago

Respect for human autonomy seems like the obvious choice. Transparency helps us stay in control, doesn't it?

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Francene

1 months ago

I'm going with Fairness. Transparent AI is key to ensuring equal treatment, right?

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Melissia

5 days ago

That makes sense. Transparency is crucial for building trust in AI systems.

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Rodney

10 days ago

Exactly! It's all about being able to explain how AI arrived at a decision.

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Larae

14 days ago

Oh, I see. So, Explicability is about making AI decisions understandable to humans?

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Latia

1 months ago

Fairness is important, but the principle that leads to transparency is Explicability.

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Gilma

2 months ago

Explicability, for sure! Gotta understand how the AI is making decisions, no mystery boxes here.

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Yvette

7 days ago

Transparency is essential for ensuring fairness in AI systems.

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Alisha

9 days ago

D) Fairness

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Tu

17 days ago

Transparency helps prevent unintended consequences and potential harm.

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Roselle

18 days ago

B) Prevention of harm

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Jacquline

1 months ago

Absolutely, transparency is key when it comes to AI decision-making.

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Loreen

1 months ago

A) Explicability

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Gary

2 months ago

I think the answer is A) Explicability.

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