Exam AI-900 All Questions

View all questions & answers for the AI-900 exam

Exam AI-900 topic 1 question 9 discussion

Actual exam question from Microsoft's AI-900

Question #: 9
Topic #: 1

DRAG DROP -
Match the Microsoft guiding principles for responsible AI to the appropriate descriptions.
To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Select and Place:

Show Suggested Answer

Suggested Answer:

Box 1: Reliability and safety -
To build trust, it's critical that AI systems operate reliably, safely, and consistently under normal circumstances and in unexpected conditions. These systems should be able to operate as they were originally designed, respond safely to unanticipated conditions, and resist harmful manipulation.

Box 2: Accountability -
The people who design and deploy AI systems must be accountable for how their systems operate. Organizations should draw upon industry standards to develop accountability norms. These norms can ensure that AI systems are not the final authority on any decision that impacts people's lives and that humans maintain meaningful control over otherwise highly autonomous AI systems.

Box 3: Privacy and security -
As AI becomes more prevalent, protecting privacy and securing important personal and business information is becoming more critical and complex. With AI, privacy and data security issues require especially close attention because access to data is essential for AI systems to make accurate and informed predictions and decisions about people. AI systems must comply with privacy laws that require transparency about the collection, use, and storage of data and mandate that consumers have appropriate controls to choose how their data is used
Reference:
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles

by Pukk at Oct. 7, 2020, 9:49 p.m.

Comments

Submit Cancel

imcee_

Highly Voted 10 months, 2 weeks ago

Accountability The people who design and deploy AI systems must be accountable for how their systems operate. Organizations should draw upon industry standards to develop accountability norms. These norms can ensure that AI systems are not the final authority on any decision that impacts people's lives and that humans maintain meaningful control over otherwise highly autonomous AI systems.

upvoted 32 times

vmontalvao

4 years, 4 months ago

Yes, for the 2nd one.

upvoted 2 times

...

idioteque

Highly Voted 2 years, 11 months ago

for me to easy remember xD Reliability & Safety = resist harmful Accountability = overridden by humans Privacy & Security = information and controls

upvoted 15 times

...

NewbieMichael

Most Recent 3 days, 21 hours ago

Reliability & Safety = resist harmful Accountability = overridden by humans Privacy & Security = information and controls

upvoted 1 times

...

SoumyaHK

4 months ago

Came on 28-Mar-2025 exam

upvoted 1 times

...

saema

6 months, 2 weeks ago

Reliability & Safety = resist harmful Accountability = overridden by humans Privacy & Security = information and controls

upvoted 1 times

...

zellck

2 years, 1 month ago

1. Reliability and safety 2. Accountability 3. Privacy and security https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai#reliability-and-safety AI systems need to be reliable and safe in order to be trusted. It's important for a system to perform as it was originally designed and for it to respond safely to new situations. Its inherent resilience should resist intended or unintended manipulation. Rigorous testing and validation should be established for operating conditions to ensure that the system responds safely to edge cases, and A/B testing and champion/challenger methods should be integrated into the evaluation process.

upvoted 3 times

zellck

2 years, 1 month ago

https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai#privacy-and-security A data holder is obligated to protect the data in an AI system, and privacy and security are an integral part of this system. Personal needs to be secured, and it should be accessed in a way that doesn't compromise an individual's privacy. Azure differential privacy protects and preserves privacy by randomizing data and adding noise to conceal personal information from data scientists.

upvoted 1 times

...

zellck

2 years, 1 month ago

https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai#accountability Accountability is an essential pillar of responsible AI. The people who design and deploy the AI system need to be accountable for its actions and decisions, especially as we progress toward more autonomous systems. Organizations should consider establishing an internal review body that provides oversight, insights, and guidance about developing and deploying AI systems. While this guidance might vary depending on the company and region, it should reflect an organization's AI journey.

upvoted 1 times

...

rdemontis

2 years, 1 month ago

given answers are correct

upvoted 1 times

...

Eltooth

3 years ago

R&S Account P&S

upvoted 2 times

...

ydu7312

3 years, 2 months ago

Correct answers

upvoted 1 times

...

BharatDixit

3 years, 3 months ago

Given (EAD) Answer is correct.

upvoted 1 times

...

itelessons

3 years, 5 months ago

Maybe this is helpful to remember: Reliability (as originally designed), Accountability (by humans), Privacy (their data).

upvoted 7 times

...

mudassirsmk27

3 years, 6 months ago

correct answers

upvoted 1 times

...

mnmcbl

4 years, 1 month ago

For the 2nd question, Accountability is the right answer. Human is the ultimate owner of the AI system thus owns the control over the AI.

upvoted 1 times

...

SQLNh

4 years, 2 months ago

The answer for the 2nd is Accountability.

upvoted 1 times

...

Kanjati

4 years, 2 months ago

Yey this is Accountability!

upvoted 1 times

...

Alasco

4 years, 3 months ago

"...to ensure that decisions made by AI systems can be overriden by humans" Decisions made by AI can be bias at times thats why its important to allow humans to override some of these decisions to mitigate bias which is a feature of Fairness. second answer is correct.

upvoted 2 times

jd2

4 years, 2 months ago

I agree, to mitigate the possibility of bias

upvoted 1 times

...

cron0001

4 years, 4 months ago

Reliability and Safety/Accountability/Privacy and Security is my answer

upvoted 5 times

...

Load full discussion...