Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

Salesforce Exam Salesforce-AI-Associate Topic 1 Question 22 Discussion

Actual exam question for Salesforce's Salesforce Certified AI Associate exam
Question #: 22
Topic #: 1
[All Salesforce Certified AI Associate Questions]

What is the significance of explainability of trusted AI systems?

Show Suggested Answer Hide Answer
Suggested Answer: C

The significance of the explainability of trusted AI systems is that it describes how AI models make decisions. Explainability is crucial for building trust and accountability in AI systems, ensuring that users and stakeholders understand the decision-making processes and outcomes generated by AI. This is particularly important in scenarios where AI decisions impact personal or financial status, such as in credit scoring or healthcare diagnostics. Salesforce emphasizes the importance of explainable AI through its ethical AI practices, aiming to make AI systems more transparent and understandable. More details about Salesforce's approach to ethical and explainable AI can be found in Salesforce AI ethics resources at Salesforce AI Ethics.


by Alana at Jun 28, 2024, 07:55 PM

Limited Time Offer

25%

Off

Get Premium Salesforce-AI-Associate Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel
Brittni
3 months ago
But doesn't it also increase the complexity of AI models?
upvoted 0 times
...
Jose
3 months ago
I believe it enhances the security and accuracy of AI models.
upvoted 0 times
...
Amira
3 months ago
I agree, it helps us understand how AI models make decisions.
upvoted 0 times
...
Val
3 months ago
This question is a piece of cake! Explainability is the secret sauce to making AI systems trustworthy, like a gourmet chef revealing their culinary secrets.
upvoted 0 times
Helga
2 months ago
C) Describes how AI models make decisions
upvoted 0 times
...
Erin
2 months ago
B) Enhances the security and accuracy of AI models
upvoted 0 times
...
Yoko
3 months ago
A) Increases the complexity of AI models
upvoted 0 times
...
...
Rima
3 months ago
Option B also seems relevant. Explainability can enhance the security and accuracy of AI models by identifying potential biases or vulnerabilities.
upvoted 0 times
...
Stephaine
3 months ago
I agree with Paris. Explainability is the key to making AI systems transparent and accountable.
upvoted 0 times
Tanesha
2 months ago
B) Enhances the security and accuracy of AI models
upvoted 0 times
...
Ashley
2 months ago
A) Increases the complexity of AI models
upvoted 0 times
...
...
Davida
3 months ago
I think the explainability of trusted AI systems is crucial.
upvoted 0 times
...
Paris
3 months ago
Option C is clearly the correct answer. Explainability is crucial for building trust in AI systems by understanding how they make decisions.
upvoted 0 times
Linwood
3 months ago
Option C is clearly the correct answer. Explainability is crucial for building trust in AI systems by understanding how they make decisions.
upvoted 0 times
...
Grover
3 months ago
C) Describes how AI models make decisions
upvoted 0 times
...
Georgiann
3 months ago
B) Enhances the security and accuracy of AI models
upvoted 0 times
...
Elly
3 months ago
A) Increases the complexity of AI models
upvoted 0 times
...
...

Save Cancel