Discover Microsoft’s 3 core guiding principles for responsible AI development and deployment: fairness, reliability & safety, and inclusiveness. Learn how these ethical principles shape Microsoft’s approach to AI.
Table of Contents
Question
What are the Microsoft guiding principles for responsible AI? Select three correct options.
A. Fairness.
B. Knowledgeability.
C. Reliability and Safety.
D. Inclusiveness
Answer
Microsoft has established 6 key guiding principles for responsible AI development and use. Of the options provided, the 3 that are part of Microsoft’s AI principles are:
A. Fairness.
C. Reliability and Safety.
D. Inclusiveness
Explanation
Fairness means AI systems should treat all people fairly and not discriminate against individuals or groups. Reliability and safety means AI systems should perform reliably, safely, and consistently under normal circumstances and be resilient to attacks or manipulation. Inclusiveness means AI should empower and engage people, and AI solutions should be accessible to all, with a particular emphasis on underserved populations.
Microsoft’s other 3 responsible AI principles not listed are transparency, privacy & security, and accountability.
In summary, fairness, reliability & safety, and inclusiveness are 3 of Microsoft’s 6 core ethical principles that guide their development and use of artificial intelligence in a responsible manner. These principles help ensure AI has a positive impact and promotes the well-being of all people.
These principles are designed to ensure that AI systems are used in a way that is ethical, trustworthy, and accessible. Knowledgeability is not listed as one of the core guiding principles.
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