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Salesforce AI Associate Exam - Topic 1 Question 31 Discussion

A consultant conducts a series of Consequence Scanning workshops to support testing diverse datasets.Which Salesforce Trusted AI Principles is being practiced>
B) Inclusivity
A) Transparency
C) Accountability

Salesforce AI Associate Exam - 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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Timothy
6 months ago
Hmm, I’m not convinced this fits any of those principles.
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Rosalyn
6 months ago
Totally agree with Inclusivity here!
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Sueann
7 months ago
Wait, are we sure it's not Accountability?
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Carolann
7 months ago
I think it's more about Transparency.
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Mary
7 months ago
Sounds like it's all about Inclusivity!
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France
7 months ago
I feel like this is definitely about Transparency, but I could see how others might argue for Inclusivity too.
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Julio
8 months ago
I remember a practice question about Accountability in AI, but I don't see how it applies here.
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Stephanie
8 months ago
I'm not entirely sure, but Inclusivity could also fit since they're testing diverse datasets.
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Katina
8 months ago
I think this might relate to Transparency, since the workshops are about understanding the impact of the datasets.
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Lawana
8 months ago
Hmm, I'm not sure. I'll need to review the Salesforce Trusted AI Principles again to make sure I understand them properly. This is a tricky one.
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Muriel
8 months ago
I'm leaning towards Accountability as the answer. The workshops are supporting the testing of diverse datasets, which suggests a focus on responsible AI development and deployment.
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Rocco
8 months ago
I'm a bit confused. Is Inclusivity also a relevant principle here? The question doesn't mention anything about diverse stakeholders or ensuring the workshops are accessible.
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Novella
8 months ago
Okay, I've got this. The key here is that the consultant is conducting Consequence Scanning workshops, which is all about identifying potential risks and impacts. That aligns with the principle of Transparency.
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Ernie
8 months ago
Hmm, this one seems tricky. I'll need to think carefully about the Salesforce Trusted AI Principles and how they relate to the scenario.
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Adelle
8 months ago
I remember a practice question where we discussed physical security. I think the unlocked filing cabinet is an obvious risk.
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Meghann
2 years 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
2 years ago
Accountability, no doubt. Can't have those AI consultants running wild without any consequences!
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Venita
2 years ago
Transparency is also important so we know exactly what is happening with the AI.
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Camellia
2 years ago
I agree, we need to make sure there are consequences for any actions taken.
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Jonelle
2 years ago
Definitely! Accountability is key when it comes to AI.
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Salome
2 years 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
2 years ago
I agree with Mammie, Transparency is key in this scenario.
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Kristine
2 years ago
Inclusivity, baby! Diverse datasets mean diverse perspectives. Wouldn't want to leave anyone out of the AI revolution.
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Tawny
2 years ago
C: Transparency is important too, but inclusivity is crucial for diverse datasets.
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Andra
2 years ago
B: Absolutely, we need to make sure all perspectives are considered in the AI process.
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Ivan
2 years ago
A: Definitely! Inclusivity is key when testing diverse datasets.
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Raul
2 years ago
Transparency for sure! Gotta keep those AI models honest and open for all to see.
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Derick
2 years ago
Transparency also helps in identifying and addressing any biases in the AI algorithms.
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Herschel
2 years ago
I agree, transparency helps in understanding how decisions are made by AI systems.
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Luis
2 years ago
Definitely! Transparency is key in ensuring accountability and trust in AI.
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Eileen
2 years ago
Transparency for sure! Gotta keep those AI models honest and open for all to see.
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Mammie
2 years ago
I think the principle being practiced is Transparency.
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