Learn how to follow Microsoft guiding principles for responsible AI, which are fairness, reliability and safety, and inclusiveness. Find out what these principles mean and why they are important for creating ethical and trustworthy AI solutions.
Table of Contents
Question
What are three Microsoft guiding principles for responsible AI? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. knowledgeability
B. decisiveness
C. inclusiveness
D. fairness
E. opinionatedness
F. reliability and safety
Answer
C. inclusiveness
D. fairness
F. reliability and safety
Explanation
The correct answer is C, D, and F. Microsoft has developed a Responsible AI Standard, which is a framework for building AI systems according to six principles: fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability. These principles are essential to creating responsible and trustworthy AI as it moves into mainstream products and services. They are guided by two perspectives: ethical and explainable.
- Fairness means that AI systems should treat all people fairly and avoid outcomes that are harmful or discriminatory. Fairness also requires that AI systems are designed and tested to ensure that they do not create or reinforce unfair biases.
- Reliability and safety means that AI systems should perform reliably and safely under normal and abnormal conditions, and that they should be resilient to errors, attacks, and changes. Reliability and safety also requires that AI systems are monitored and updated to ensure that they meet the expectations and needs of users and stakeholders.
- Inclusiveness means that AI systems should empower and engage everyone, and that they should respect and reflect the diversity of users and stakeholders. Inclusiveness also requires that AI systems are accessible and usable by people with different abilities, needs, and preferences.
- The other three principles are privacy and security, transparency, and accountability, but they are not part of the correct answer. Privacy and security means that AI systems should protect the privacy and security of data and users, and that they should comply with relevant laws and regulations. Transparency means that AI systems should be understandable and explainable, and that they should provide meaningful information and feedback to users and stakeholders. Accountability means that AI systems should be responsible and accountable for their outcomes and impacts, and that they should enable human oversight and control.
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