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Step 1I'll provide a comprehensive analysis of the challenges generative AI faces with respect to data:
Step 2: Data Quality and Bias
- Generative AI models are fundamentally dependent on training data - Poor quality or biased data can lead to: * Inaccurate or skewed outputs * Perpetuation of existing societal biases * Unreliable or misleading generated content
Final Answer
Generative AI faces multifaceted data challenges involving quality, bias, privacy, preprocessing, and legal considerations, requiring sophisticated technical and ethical approaches to development and deployment.
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