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Salesforce Exam Salesforce AI Associate Topic 1 Question 22 Discussion

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

What is the significance of explainability of trusted AI systems?

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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

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Brittni
11 months ago
But doesn't it also increase the complexity of AI models?
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Jose
11 months ago
I believe it enhances the security and accuracy of AI models.
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Amira
11 months ago
I agree, it helps us understand how AI models make decisions.
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Val
11 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.
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Helga
10 months ago
C) Describes how AI models make decisions
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Erin
11 months ago
B) Enhances the security and accuracy of AI models
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Yoko
11 months ago
A) Increases the complexity of AI models
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Rima
12 months ago
Option B also seems relevant. Explainability can enhance the security and accuracy of AI models by identifying potential biases or vulnerabilities.
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Stephaine
12 months ago
I agree with Paris. Explainability is the key to making AI systems transparent and accountable.
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Tanesha
11 months ago
B) Enhances the security and accuracy of AI models
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Ashley
11 months ago
A) Increases the complexity of AI models
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Davida
12 months ago
I think the explainability of trusted AI systems is crucial.
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Paris
12 months ago
Option C is clearly the correct answer. Explainability is crucial for building trust in AI systems by understanding how they make decisions.
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Linwood
11 months ago
Option C is clearly the correct answer. Explainability is crucial for building trust in AI systems by understanding how they make decisions.
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Grover
11 months ago
C) Describes how AI models make decisions
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Georgiann
11 months ago
B) Enhances the security and accuracy of AI models
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Elly
11 months ago
A) Increases the complexity of AI models
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