What are three Microsoft guiding principles for responsible AI? Each correct answer presents a complete solution.
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A. B. C. D. E. F.CDF
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principlesThe three guiding principles for responsible AI that are defined by Microsoft are:
D. Fairness: This principle is related to avoiding bias and ensuring that AI systems treat everyone fairly. It means that AI systems should be designed to avoid discrimination based on gender, race, ethnicity, religion, or any other personal attribute. It requires taking into account a diverse range of data and viewpoints, and ensuring that the AI system does not perpetuate harmful stereotypes or reinforce existing inequalities.
C. Inclusiveness: Inclusiveness is related to ensuring that AI systems are accessible to everyone, regardless of their abilities or background. This principle requires designing systems that can be used by people with disabilities, providing language support for non-native speakers, and taking into account cultural differences and preferences.
F. Reliability and safety: This principle is related to ensuring that AI systems are trustworthy and safe to use. It requires designing systems that are robust, secure, and accurate, and that can be audited and tested for reliability. It also means ensuring that the system can handle unexpected situations and errors, and that it can be shut down or disabled if necessary.
To summarize, the three guiding principles for responsible AI defined by Microsoft are fairness, inclusiveness, and reliability and safety. These principles are important for ensuring that AI systems are designed and deployed in a responsible and ethical manner, and can be trusted to benefit society as a whole.