What are three Microsoft guiding principles for responsible AI? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
What are three Microsoft guiding principles for responsible AI? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
The Microsoft guiding principles for responsible AI include inclusiveness, fairness, and reliability and safety. Inclusiveness ensures that AI systems are designed to understand and address the needs of diverse individuals. Fairness ensures that AI decisions do not discriminate against any group or individual. Reliability and safety ensure that AI systems operate as intended and respond safely to new situations, resisting manipulation and undergoing rigorous testing.
The six guiding principles are: 1. Fairness 2. Inclusiveness 3. Transparency 4. Privacy and Security 5. Reliability and Safety 6. Accountability
totally agree with you
CDF are correct answers.
c, d, f
CDF Correct Answer
CDF is the right answer
answer is correct!
cdF, six principal of responsible ai are readability and safety accountability transparency fairness privacy and security inclusiveness
C, D, F correct
1. Fairness 2. Inclusiveness 3. Transparency 4. Privacy and Security 5. Reliability and Safety 6. Accountability
CDF are in the principles
C, D and F
CDF is the answer/ https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai#inclusiveness Inclusiveness mandates that AI should consider all human races and experiences, and inclusive design practices can help developers to understand and address potential barriers that could unintentionally exclude people. Where possible, speech-to-text, text-to-speech, and visual recognition technology should be used to empower people with hearing, visual, and other impairments.
https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai#fairness Fairness is a core ethical principle that all humans aim to understand and apply. This principle is even more important when AI systems are being developed. Key checks and balances need to make sure that the system's decisions don't discriminate or run a gender, race, sexual orientation, or religion bias toward a group or individual. 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.
Got this in Jun 2023 exam.
Correct CDF
on exam july 2023
A. knowledgeability - doesnt exist B. decisiveness - doesnt exist C. inclusiveness - correct D. fairness - correct E. opinionatedness - doesnt exist F. reliability and safety - correct
Inclusiveness Fairness Reliability and Safety
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