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Exam AI-900 topic 1 question 9 discussion

Actual exam question from Microsoft's AI-900
Question #: 9
Topic #: 1
[All AI-900 Questions]

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:

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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.

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imcee_
Highly Voted 2 weeks, 2 days 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 31 times
vmontalvao
3 years, 6 months ago
Yes, for the 2nd one.
upvoted 2 times
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idioteque
Highly Voted 2 years, 1 month ago
for me to easy remember xD Reliability & Safety = resist harmful Accountability = overridden by humans Privacy & Security = information and controls
upvoted 9 times
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zellck
Most Recent 1 year, 3 months 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
1 year, 3 months 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
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zellck
1 year, 3 months 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
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rdemontis
1 year, 3 months ago
given answers are correct
upvoted 1 times
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Eltooth
2 years, 3 months ago
R&S Account P&S
upvoted 2 times
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ydu7312
2 years, 4 months ago
Correct answers
upvoted 1 times
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BharatDixit
2 years, 5 months ago
Given (EAD) Answer is correct.
upvoted 1 times
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itelessons
2 years, 7 months ago
Maybe this is helpful to remember: Reliability (as originally designed), Accountability (by humans), Privacy (their data).
upvoted 7 times
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mudassirsmk27
2 years, 9 months ago
correct answers
upvoted 1 times
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mnmcbl
3 years, 3 months 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
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SQLNh
3 years, 4 months ago
The answer for the 2nd is Accountability.
upvoted 1 times
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Kanjati
3 years, 4 months ago
Yey this is Accountability!
upvoted 1 times
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Alasco
3 years, 5 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
3 years, 5 months ago
I agree, to mitigate the possibility of bias
upvoted 1 times
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cron0001
3 years, 6 months ago
Reliability and Safety/Accountability/Privacy and Security is my answer
upvoted 5 times
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Massy
3 years, 7 months ago
The second is "Reliability and safety" like the first
upvoted 6 times
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ChandrashekharDeshpande
3 years, 7 months ago
My suggestion is Reliability and Safety: Human judgment will be key to identifying potential blind spots and biases in AI systems.
upvoted 4 times
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dennis
3 years, 7 months ago
I think the answer is correct as it is
upvoted 2 times
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