You build a machine learning model by using the automated machine learning user interface (UI). You need to ensure that the model meets the Microsoft transparency principle for responsible AI. What should you do?
Answer is B:
MS AI responsibilities
• Fairness – Limit Biases
• Reliability ad Safely – ops, resist manipulating, use of regresses testing
• Privacy and security- secure data provide security controls
• Inclusiveness- AI available to everyone i.e., disabled ppl
• Transparency- fully aware of the limitations over AII in use
• Accountability- follow governments and frameworks meet legal and ethical standards
Answer is B:
MS AI responsibilities
free question here: https://youtu.be/oMUFySyBvJ8?si=-bM7uI-Osnv5n8Mt
• Fairness – Limit Biases
• Reliability ad Safely – ops, resist manipulating, use of regresses testing
• Privacy and security- secure data provide security controls
• Inclusiveness- AI available to everyone i.e., disabled ppl
• Transparency- fully aware of the limitations over AII in use
• Accountability- follow governments and frameworks meet legal and ethical standards
There are 6 Responsible AI principles
https://www.microsoft.com/en-us/ai/responsible-ai?activetab=pivot1%3aprimaryr6
'Transparency' is one of them - which means AI systems should be understandable
So 'B' is the answer here, As AutoML internally try all models, so it should explain the best model (i.e. should be transparent - How and Why) which helps the developers to debug and their system and should understand the behaviour
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