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Answer :
The principle of fairness in Generative AI entails:
b. Ensuring equitable treatment and addressing biases in outputs.
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The correct option is b) Ensuring equitable treatment and addressing biases in outputs.
The principle of fairness in Generative AI (Gen AI) primarily entails ensuring equitable treatment and addressing biases in the outputs generated by AI models.
This principle is focused on making sure that AI systems do not perpetuate or amplify existing societal biases and that they produce outputs that are fair and just for all users, regardless of their background or characteristics.
While optimizing model architecture to reduce bias (option a) and promoting diversity within development teams (option c) are important steps towards achieving fairness, the core principle is about the fair and unbiased treatment in the AI’s decision-making and content generation processes.
Therefore, fairness in Gen AI is fundamentally about ensuring that the AI's outputs do not favor or disadvantage any particular group or individual unfairly.
