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Salesforce Exam Salesforce AI Associate Topic 1 Question 31 Discussion

Actual exam question for Salesforce's Salesforce AI Associate exam
Question #: 31
Topic #: 1
[All Salesforce AI Associate Questions]

A consultant conducts a series of Consequence Scanning workshops to support testing diverse datasets.

Which Salesforce Trusted AI Principles is being practiced>

Show Suggested Answer Hide Answer
Suggested Answer: B

''Conducting a series of Consequence Scanning workshops to support testing diverse datasets is an action that practices Salesforce's Trusted AI Principle of Inclusivity. Inclusivity is one of the Trusted AI Principles that states that AI systems should be designed and developed with respect for diversity and inclusion of different perspectives, backgrounds, and experiences. Conducting Consequence Scanning workshops means engaging with various stakeholders to identify and assess the potential impacts and implications of AI systems on different groups or domains. Conducting Consequence Scanning workshops can help practice Inclusivity by ensuring that diverse datasets are used to test and evaluate AI systems.''


by Galen at Sep 12, 2024, 08:12 PM

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Meghann
10 months ago
Hmm, this is a tough one. Maybe they're practicing their AI-powered dad jokes? 'Hey, did you hear about the constipated mathematician? He worked it out with a pencil!'
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Hector
10 months ago
Accountability, no doubt. Can't have those AI consultants running wild without any consequences!
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Venita
9 months ago
Transparency is also important so we know exactly what is happening with the AI.
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Camellia
9 months ago
I agree, we need to make sure there are consequences for any actions taken.
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Jonelle
9 months ago
Definitely! Accountability is key when it comes to AI.
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Salome
10 months ago
I believe it could also be Accountability, as ensuring the consequences of testing are understood and owned is important.
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Rodolfo
10 months ago
I agree with Mammie, Transparency is key in this scenario.
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Kristine
10 months ago
Inclusivity, baby! Diverse datasets mean diverse perspectives. Wouldn't want to leave anyone out of the AI revolution.
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Tawny
9 months ago
C: Transparency is important too, but inclusivity is crucial for diverse datasets.
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Andra
10 months ago
B: Absolutely, we need to make sure all perspectives are considered in the AI process.
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Ivan
10 months ago
A: Definitely! Inclusivity is key when testing diverse datasets.
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Raul
10 months ago
Transparency for sure! Gotta keep those AI models honest and open for all to see.
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Derick
9 months ago
Transparency also helps in identifying and addressing any biases in the AI algorithms.
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Herschel
9 months ago
I agree, transparency helps in understanding how decisions are made by AI systems.
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Luis
9 months ago
Definitely! Transparency is key in ensuring accountability and trust in AI.
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Eileen
10 months ago
Transparency for sure! Gotta keep those AI models honest and open for all to see.
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Mammie
11 months ago
I think the principle being practiced is Transparency.
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