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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]

What is the purpose of Attention Mechanism in Transformer architecture?

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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
5 months ago
Ah, the age-old question: 'To be, or not to be... transparent?' Sorry, couldn't resist the Shakespeare pun!
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Tiffiny
4 months ago
D) Fairness
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Rosann
4 months ago
C) Respect for human autonomy
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Cornell
5 months ago
B) Prevention of harm
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Dalene
5 months ago
A) Explicability
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Leonida
6 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 months ago
C) Respect for human autonomy
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Karol
5 months ago
B) Prevention of harm
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Tennie
5 months ago
A) Explicability
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Carlee
6 months ago
I agree with Gary, because transparency requires the AI system to be understandable and explainable.
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Carmela
6 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
6 months ago
I'm going with Fairness. Transparent AI is key to ensuring equal treatment, right?
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Melissia
5 months ago
That makes sense. Transparency is crucial for building trust in AI systems.
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Rodney
5 months ago
Exactly! It's all about being able to explain how AI arrived at a decision.
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Larae
5 months ago
Oh, I see. So, Explicability is about making AI decisions understandable to humans?
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Latia
6 months ago
Fairness is important, but the principle that leads to transparency is Explicability.
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Gilma
6 months ago
Explicability, for sure! Gotta understand how the AI is making decisions, no mystery boxes here.
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Yvette
5 months ago
Transparency is essential for ensuring fairness in AI systems.
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Alisha
5 months ago
D) Fairness
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Tu
5 months ago
Transparency helps prevent unintended consequences and potential harm.
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Roselle
5 months ago
B) Prevention of harm
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Jacquline
6 months ago
Absolutely, transparency is key when it comes to AI decision-making.
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Loreen
6 months ago
A) Explicability
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Gary
6 months ago
I think the answer is A) Explicability.
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