Exam AI-900 topic 1 question 23 discussion

key > bais = fairness

Inclusiveness = accessible to all Fairness = treat all without prejudice or bias Answer has to be fairness

NOT reflect biases => fairness

Fairness & Inclusiveness seems to be closer options together

fairness = not bias

1. fairness 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.

Fairness

Fairness is correct answer.

Fairness = not biased

Answer is correct

fairness is correct

Fairness is the correct answer, as the keyword here is Bias. Transparency involves the disclosure of how the algorithm reached a specific result.

i think it should be Transparancy