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Answer :
The primary challenge generative AI faces is C) acquiring diverse and representative datasets.
Generative AI systems rely heavily on large, diverse datasets to learn accurately and perform well. This requirement presents a significant challenge because gathering such datasets can be complex and resource-intensive.
Ensuring data privacy and security, managing bias and fairness issues, and handling the scalability of data processing are indeed important challenges, but the need for diverse and representative datasets is fundamental for effective AI training. Without diverse data, the AI models may become biased, less accurate, and potentially discriminatory.
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