Explore Microsoft’s principle for responsible AI and how it addresses the handling of unusual or missing values in AI systems. Discover the importance of inclusiveness, privacy and security, reliability and safety, and transparency in ensuring ethical and accountable AI practices. Gain insights into Microsoft’s commitment to responsible AI implementation.
Table of Contents
Question
The handling of unusual or missing values provided to an AI system is a consideration for the Microsoft _____ principle for responsible AI.
A. Inclusiveness
B. Privacy and security
C. Reliability and safety
D. Transparency
Answer
C. Reliability and safety
Explanation
The correct answer is C. Reliability and safety.
The reliability and safety principle for responsible AI states that AI systems should perform reliably and safely under normal and abnormal conditions, and that they should not harm humans, animals, or the environment. One of the aspects of this principle is to handle errors and anomalies gracefully, and to ensure that AI systems can recover from failures.
The handling of unusual or missing values provided to an AI system is a consideration for the reliability and safety principle because it affects how the system behaves in unexpected situations. For example, if an AI system is trained to recognize faces, but it receives an input image that does not contain a face, it should not produce a random or incorrect output, but rather indicate that no face was detected. Similarly, if an AI system is designed to make predictions based on numerical data, but it receives a missing or invalid value, it should not crash or generate a meaningless result, but rather handle the error appropriately and inform the user.
Therefore, the handling of unusual or missing values provided to an AI system is a consideration for the reliability and safety principle for responsible AI, and not for the other principles. The other principles are:
- Inclusiveness: This principle states that AI systems should empower everyone and engage people, and that they should reflect the diversity of the users and stakeholders. This principle is related to the design and development of AI systems, and not to the handling of unusual or missing values.
- Privacy and security: This principle states that AI systems should be secure and respect the privacy of users and stakeholders, and that they should protect the data and intellectual property of individuals and organizations. This principle is related to the protection and governance of data and AI models, and not to the handling of unusual or missing values.
- Transparency: This principle states that AI systems should be understandable and interpretable, and that they should provide meaningful information and explanations to users and stakeholders. This principle is related to the communication and documentation of AI systems, and not to the handling of unusual or missing values.
Reference
Microsoft Learn > Azure > Cloud Adoption Framework > Adopt > Innovate > Responsible and trusted AI
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