Generative models are inherently more accurate than discriminative models due to their training on massive datasets.
Generative AI is less susceptible to biases because it generates outputs from scratch without predefined categories.
The unpredictability of output quality necessitates human oversight to ensure cultural sensitivity and appropriateness.
Generative AI models produce outputs that are always factually correct and reliable, reducing the need for human intervention.