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IAPP Exam CIPT Topic 7 Question 87 Discussion

Actual exam question for IAPP's CIPT exam
Question #: 87
Topic #: 7
[All CIPT Questions]

An organization is evaluating a number of Machine Learning (ML) solutions to help automate a customer-facing part of its business From a privacy perspective, the organization should first?

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Suggested Answer: D

An organization launching a new smart speaker to the market that has the capability to play music and provide news and weather updates would have concerns about context aware computing rather than browser fingerprinting from a privacy perspective. Context aware computing involves using information about an individual's location or behavior to tailor their experience with technology. This can raise concerns about how personal data is collected and used without individuals' knowledge or consent.


by Lili at Jul 13, 2024, 12:04 AM

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Stefania
3 months ago
As an AI enthusiast, I'm tempted to say option A, but you're absolutely right. Privacy has to come first. Option D is the way to go.
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Teddy
2 months ago
Definitely. Option D is the best choice for ensuring privacy.
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Colette
2 months ago
Agreed. It's important to prioritize privacy in ML solutions.
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Malinda
2 months ago
That's a good point. Privacy should definitely come first.
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Dannie
3 months ago
I think we should define how data subjects may object to the processing.
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Goldie
3 months ago
Haha, I was about to go for option C, but then I realized that documenting false positive rates doesn't really address the privacy concerns. Nice catch, Pansy!
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Roselle
2 months ago
C: Definitely. It's crucial to prioritize privacy when implementing ML solutions.
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Tonja
2 months ago
B: That's a good point. It's important to address privacy concerns from the start.
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Graciela
3 months ago
A: I think we should first define how data subjects may object to the processing.
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Arthur
4 months ago
I agree with Pansy. Privacy should be the top priority when evaluating ML solutions. Option D is the best choice here.
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Marcos
2 months ago
User 3: Agreed, defining how data subjects may object to the processing is essential.
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Sena
2 months ago
User 2: Definitely, we need to prioritize privacy. Option D seems like the best choice.
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Samira
3 months ago
User 1: I think privacy is crucial when evaluating ML solutions.
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Pansy
4 months ago
Option D is the way to go. Defining how data subjects can object to the processing is crucial for ensuring privacy and compliance.
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Odelia
3 months ago
I agree, it's important for organizations to have a clear process in place for data subjects to object to the processing of their information.
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Van
4 months ago
Option D is the way to go. Defining how data subjects can object to the processing is crucial for ensuring privacy and compliance.
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Linn
4 months ago
But shouldn't they also document the distribution of bias scores to address potential biases?
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Broderick
4 months ago
I agree with Gerri. It's important to ensure fairness in ML solutions.
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Gerri
4 months ago
I think the organization should first define their goals for fairness.
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