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Dataset Bias in Multimodal Generative AI: Representation Across Modalities

Dataset Bias in Multimodal Generative AI: Representation Across Modalities

Explore how dataset bias skews multimodal generative AI, causing underrepresentation and stereotypes across text and images. Learn about detection methods, mitigation strategies like SMOTE and CA-GAN, and the critical research gaps in fairness for Large Multimodal Models.

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  • Human-in-the-Loop Practices for Safe and Effective Vibe Coding
  • Dataset Bias in Multimodal Generative AI: Representation Across Modalities
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