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 AI Associate Exam - 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?

Show Suggested Answer Hide Answer
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

Limited Time Offer

25%

Off

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

Contribute your Thoughts:

0/2000 characters
Submit Cancel
Leonardo
4 months ago
Implicit transparency? Sounds like a fancy way to say "not clear at all."
upvoted 0 times
...
Cortney
4 months ago
I think option A really highlights the core issues we face.
upvoted 0 times
...
Louis
4 months ago
Lack of transparency is definitely a problem we need to address.
upvoted 0 times
...
Julene
5 months ago
Wait, how can AI be neutral? That sounds too good to be true.
upvoted 0 times
...
Sol
5 months ago
Totally agree, bias in AI is a huge issue!
upvoted 0 times
...
Chaya
5 months ago
I feel like I read something about the importance of transparency in AI. It seems like a major ethical issue if users can’t see how decisions are made.
upvoted 0 times
...
Joanne
5 months ago
I practiced a question about AI ethics, and I think the idea of inherent neutrality is a bit misleading. AI can reflect biases from the data it’s trained on.
upvoted 0 times
...
Aide
5 months ago
I’m not so sure about the transparency part. I think some AI systems are really complex and not easy to understand, which could lead to mistrust.
upvoted 0 times
...
Cristy
6 months ago
I remember discussing how human bias can really affect AI outcomes, especially in training data. It’s definitely a challenge we need to address.
upvoted 0 times
...
Jamika
6 months ago
Okay, let's see. Bias and lack of transparency in AI decision-making - that's definitely a key issue to discuss. I'll make sure to cover that in my answer.
upvoted 0 times
...
Jodi
6 months ago
Ah, this is right up my alley! The ethical challenges with AI are a topic I've studied extensively. I'm confident I can provide a comprehensive response.
upvoted 0 times
...
Rene
6 months ago
Hmm, I'm a bit unsure about this one. I know there are concerns around AI, but I'll need to review my notes to make sure I can give a solid answer.
upvoted 0 times
...
Nobuko
6 months ago
This is a tricky question. I'll need to think carefully about the potential issues with AI development, like bias and transparency.
upvoted 0 times
...
Marylyn
6 months ago
I'm leaning towards Option A. Maintaining the changed data in the JRN_SUBSCRIBER column seems like a straightforward way to make sure the data is available for both mappings.
upvoted 0 times
...
Kanisha
10 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.
upvoted 0 times
...
Nickie
11 months ago
Haha, Option B is just laughable. Implicit transparency? That's like saying a black box is see-through.
upvoted 0 times
Corrina
9 months ago
A) Potential for human bias in machine learning algorithms and the lack of transparency in AI decision-making processes
upvoted 0 times
...
Aaron
9 months ago
Haha, Option B is just laughable. Implicit transparency? That's like saying a black box is see-through.
upvoted 0 times
...
Jovita
10 months ago
A) Potential for human bias in machine learning algorithms and the lack of transparency in AI decision-making processes
upvoted 0 times
...
...
Armando
11 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?
upvoted 0 times
Royal
10 months ago
User 3: But what about Option C? Shouldn't AI systems be neutral and unbiased by design?
upvoted 0 times
...
Alexia
10 months ago
User 2: I agree, it's definitely a major ethical challenge in AI development.
upvoted 0 times
...
Mitsue
10 months ago
User 1: Option A raises a good point about human bias in AI algorithms.
upvoted 0 times
...
...
Kayleigh
12 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.
upvoted 0 times
Torie
10 months ago
Transparency is key for building trust in AI technology.
upvoted 0 times
...
Oretha
10 months ago
B) Implicit transparency of AI systems, which makes it easy for users to understand and trust their decisions
upvoted 0 times
...
Lisha
10 months ago
Yes, bias in AI algorithms can have serious consequences.
upvoted 0 times
...
Arthur
10 months ago
A) Potential for human bias in machine learning algorithms and the lack of transparency in AI decision-making processes
upvoted 0 times
...
...
Lacresha
12 months ago
I think C is also important, AI systems can be neutral and unbiased if designed properly.
upvoted 0 times
...
Alica
12 months ago
I agree with Jaime, human bias in AI algorithms can lead to unfair outcomes.
upvoted 0 times
...
Jaime
12 months ago
A) Potential for human bias in machine learning algorithms and the lack of transparency in AI decision-making processes
upvoted 0 times
...

Save Cancel