Oracle Exam 1Z0-1122-24 Topic 1 Question 15 Discussion

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

Question #: 15
Topic #: 1

[All 1Z0-1122-24 Questions]

Which AI domain can be employed for identifying patterns in images and extract relevant features?

AAnomaly Detection

BSpeech Processing

CNatural Language Processing

DComputer Vision

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 Shaun at Jan 27, 2025, 11:15 PM

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Linwood

2 months ago

Hold up, is this a trick question? I'm just going to go with the option that has the word 'transparent' in it. Easy peasy.

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Tawny

2 months ago

I agree, transparency is definitely related to explicability.

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Marshall

2 months ago

I think it's A) Explicability.

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Marva

3 months ago

Explicability, for sure. Can't have a black box AI system making decisions about my life. I need to see the receipts!

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German

3 months ago

I'll go with D, Fairness. Transparent AI means we can audit for bias and discrimination. Gotta keep those AIs honest, you know?

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Flo

2 months ago

Fair point, but I still think D) Fairness is the main principle for transparency in AI ethics.

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Jerry

2 months ago

Actually, I think it's A) Explicability too. Transparency allows for accountability.

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Ryann

2 months ago

I agree, but I believe it's D) Fairness. Transparency helps prevent bias.

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Nicolette

2 months ago

I think it's A) Explicability. Transparency is key in AI ethics.

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Gail

3 months ago

That's a good point, Theodora. Fairness is definitely an important aspect of Responsible AI.

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Rex

3 months ago

C, Respect for human autonomy. Transparency allows us to keep control over these AI systems. Can't let them become our overlords!

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Marquetta

2 months ago

B) Prevention of harm. Transparency helps us identify and address potential risks posed by AI systems.

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Bronwyn

2 months ago

D) Fairness. Transparency ensures that AI systems are not biased and treat everyone equally.

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Misty

2 months ago

A) Explicability. Knowing how AI systems work is crucial for maintaining transparency and control.

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Golda

2 months ago

C) Respect for human autonomy. Transparency allows us to keep control over these AI systems. Can't let them become our overlords!

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Theodora

3 months ago

I'm not sure, but I think it could also be D) Fairness, as being transparent can help ensure fairness in AI systems.

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Evangelina

3 months ago

I agree with Gail, because transparency requires the ability to explain AI decisions.

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Trinidad

3 months ago

Hmm, I'm going with B. Prevention of harm. Transparency helps us ensure AI isn't causing any unintended damage, right?

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Cassi

2 months ago

Exactly! Transparency helps us ensure AI is not causing any unintended damage.

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Pearly

2 months ago

That's correct! Transparency is important to prevent harm caused by AI.

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Ressie

3 months ago

D) Fairness

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Sanjuana

3 months ago

C) Respect for human autonomy

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Mi

3 months ago

B) Prevention of harm

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Veronica

3 months ago

A) Explicability

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Audry

3 months ago

Explicability, definitely. Transparency is key to understanding AI decision-making. How else are we supposed to trust these machines?

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Nickolas

2 months ago

B) Prevention of harm

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Gertude

2 months ago

Exactly, transparency is crucial for building trust in AI systems.

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Carey

2 months ago

A) Explicability

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Gail

3 months ago

I think the answer is A) Explicability.

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