CertNexus Exam AIP-210 Topic 1 Question 9 Discussion

Actual exam question for CertNexus's AIP-210 exam

Question #: 9
Topic #: 1

An AI practitioner incorporates risk considerations into a deployment plan and decides to log and store historical predictions for potential, future access requests.

Which ethical principle is this an example of?

AFairness

BPrivacy

CSafety

DTransparency

Show Suggested Answer

Suggested Answer: B

The final stage of the data management life cycle is data destruction, which is the process of securely deleting or erasing data that is no longer needed or relevant for the organization. Data destruction ensures that data is disposed of in compliance with any legal or regulatory requirements, as well as any internal policies or standards. Data destruction also protects the organization from potential data breaches, leaks, or thefts that could compromise its privacy and security. Data destruction can be performed using various methods, such as overwriting, degaussing, shredding, or incinerating

by Jovita at Dec 15, 2023, 01:58 AM

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Denise

30 days ago

Ah, the old 'log everything and hope for the best' approach. Ethical, sure, but it's like trying to fact-check a politician's speech – good luck with that!

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Stephanie

1 months ago

Logging predictions, huh? I hope they have plenty of storage space, 'cause my code tends to make some pretty wild guesses sometimes.

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Felix

1 months ago

Hmm, I'd say fairness. Keeping track of the predictions helps ensure the AI system is being fair and unbiased in its decision-making. Transparency is cool too, I guess.

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Stanton

1 months ago

Safety, for sure. Logging predictions helps identify potential risks or issues down the line. Proactive approach, I like it.

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Renea

16 days ago

A) Fairness

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Albert

19 days ago

A: Safety, for sure. Logging predictions helps identify potential risks or issues down the line.

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Casey

2 months ago

I'm not sure, but I think it could also be A) Fairness. By storing historical predictions, the AI practitioner is ensuring fairness in future access requests.

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2 months ago

Definitely transparency. Logging and storing historical predictions allows for future access and accountability. That's key for ethical AI principles.

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