Cyber Monday 2024! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions

Oracle Exam 1Z0-1122-24 Topic 5 Question 8 Discussion

Actual exam question for Oracle's 1Z0-1122-24 exam
Question #: 8
Topic #: 5
[All 1Z0-1122-24 Questions]

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

Show Suggested Answer Hide 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.

Top of Form

Bottom of Form


Contribute your Thoughts:

Wenona
2 months ago
Explicability makes the most sense here. Can't have responsible AI without that juicy transparency!
upvoted 0 times
Vincent
29 days ago
B) Prevention of harm
upvoted 0 times
...
Chau
1 months ago
Definitely, transparency is key for responsible AI.
upvoted 0 times
...
Jerlene
2 months ago
A) Explicability
upvoted 0 times
...
...
Frankie
2 months ago
A all the way! Gotta keep those AI systems honest and open, you know?
upvoted 0 times
...
Alberta
2 months ago
I'd go with A as well. Transparency and explainability are essential for ethical AI.
upvoted 0 times
Barrett
26 days ago
D) Fairness
upvoted 0 times
...
Celia
28 days ago
Yes, being able to explain AI decisions is crucial for transparency.
upvoted 0 times
...
Martina
1 months ago
A) Explicability
upvoted 0 times
...
Pansy
1 months ago
I think it's more about being transparent than preventing harm.
upvoted 0 times
...
Madalyn
1 months ago
B) Prevention of harm
upvoted 0 times
...
Mertie
1 months ago
Definitely A. Transparency is key in AI ethics.
upvoted 0 times
...
Rupert
2 months ago
A) Explicability
upvoted 0 times
...
...
Tamala
3 months ago
Definitely A. Explicability is the foundation for responsible AI development.
upvoted 0 times
...
Felicia
3 months ago
I'm not sure, but I think it's A) Explicability too. It makes sense to me.
upvoted 0 times
...
Telma
3 months ago
I think the answer is A) Explicability. Transparency is key for AI systems to be accountable and explainable.
upvoted 0 times
Marti
2 months ago
That's right, being able to explain AI decisions is essential for responsible AI.
upvoted 0 times
...
Jill
2 months ago
Yes, transparency is crucial for accountability in AI systems.
upvoted 0 times
...
Isaac
2 months ago
I believe the answer is A) Explicability.
upvoted 0 times
...
...
Joanna
3 months ago
I agree with Tiera, transparency is achieved through Explicability.
upvoted 0 times
...
Tiera
3 months ago
I think the answer is A) Explicability.
upvoted 0 times
...

Save Cancel
az-700  pass4success  az-104  200-301  200-201  cissp  350-401  350-201  350-501  350-601  350-801  350-901  az-720  az-305  pl-300  

Warning: Cannot modify header information - headers already sent by (output started at /pass.php:70) in /pass.php on line 77