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Salesforce Exam Salesforce AI Associate Topic 3 Question 29 Discussion

Actual exam question for Salesforce's Salesforce AI Associate exam
Question #: 29
Topic #: 3
[All Salesforce AI Associate Questions]

What are some of the ethical challenges associated with AI development?

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Suggested Answer: A

''Natural language processing is the field of AI that is most suitable for this scenario. Natural language processing (NLP) is a branch of AI that enables computers to understand and generate natural language, such as speech or text. NLP can be used to create conversational interfaces that can interact with users using natural language, such as chatbots. Chatbots can help automate and streamline customer service processes by providing answers, suggestions, or actions based on the user's intent and context.''


by Mirta at Sep 13, 2024, 08:10 PM

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Kanisha
1 months ago
I agree with Kayleigh. The lack of transparency in AI decision-making is a major issue. It's like a magic trick, but without the fun.
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Nickie
1 months ago
Haha, Option B is just laughable. Implicit transparency? That's like saying a black box is see-through.
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Aaron
2 days ago
Haha, Option B is just laughable. Implicit transparency? That's like saying a black box is see-through.
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Jovita
12 days ago
A) Potential for human bias in machine learning algorithms and the lack of transparency in AI decision-making processes
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Armando
2 months ago
I'm not so sure about that. Option C seems like a reasonable answer too. Aren't AI systems supposed to be neutral and unbiased?
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Royal
14 days ago
User 3: But what about Option C? Shouldn't AI systems be neutral and unbiased by design?
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Alexia
23 days ago
User 2: I agree, it's definitely a major ethical challenge in AI development.
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Mitsue
1 months ago
User 1: Option A raises a good point about human bias in AI algorithms.
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Kayleigh
2 months ago
Option A is definitely the correct answer here. The potential for bias in AI algorithms is a major ethical concern that needs to be addressed.
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Torie
17 days ago
Transparency is key for building trust in AI technology.
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Oretha
19 days ago
B) Implicit transparency of AI systems, which makes it easy for users to understand and trust their decisions
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Lisha
26 days ago
Yes, bias in AI algorithms can have serious consequences.
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Arthur
1 months ago
A) Potential for human bias in machine learning algorithms and the lack of transparency in AI decision-making processes
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Lacresha
2 months ago
I think C is also important, AI systems can be neutral and unbiased if designed properly.
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Alica
2 months ago
I agree with Jaime, human bias in AI algorithms can lead to unfair outcomes.
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Jaime
3 months ago
A) Potential for human bias in machine learning algorithms and the lack of transparency in AI decision-making processes
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