What are three Microsoft guiding principles for responsible AI? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
There are total 6 Principles. The given three in question are 1. Fairness 2. Inclusiveness and Reliability and Safety. the Other Three are 4. Accountability, 5. Transparency, and 6, Privacy and Security.
The three Microsoft guiding principles for responsible AI are:
Inclusiveness – Ensuring AI systems are accessible and beneficial to everyone.
Fairness – AI systems should treat all people fairly and avoid biases.
Reliability and safety – Ensuring AI systems are dependable and perform as intended, even under unexpected conditions.
These principles guide responsible AI development at Microsoft.
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.
A. knowledgeability - doesnt exist
B. decisiveness - doesnt exist
C. inclusiveness - correct
D. fairness - correct
E. opinionatedness - doesnt exist
F. reliability and safety - correct
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