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  • Representation Matters in AI-Generated Images - PSC
    The team also added the same fine-tuning step to images generated by the popular GPT-3 AI image generator “I utilize a GPU-shared mode for my training purposes My research necessitates conducting multiple ablation studies across various culture domains, making it infeasible to complete these experiments without engaging in parallel tasks on
  • Inclusive Images – Yale Scientific Magazine
    Improving the cultural accuracy of generative AI models like Stable Diffusion is essential because the images they generate have profound impacts on how cultures are represented to global audiences In the future, Liu hopes that generative AI models will use the CCUB dataset to produce images that more accurately represent marginalized cultures
  • Diffusion Models Through a Global Lens: Are They Culturally . . .
    generate culturally accurate images across ten countries with varying resource levels, incor-porating human evaluations • Analysis on various culture representations of generated images: We explore how well diffusion models represent low- and high-resource cultures, providing a fine-grained analysis of different aspects of similarity (e g ,
  • Ethical Reflections in AI-Generated Imagery: A Comparative . . .
    · Cultural Attire and Heritage: Analyses the accuracy and diversity of cultural attires generated, assessing each AI’s capability to respect and ethically represent cultural identities
  • Generative AI like Midjourney creates images full of . . .
    All of these groups have their own traditions, including clothing Traditional Tiv attire features black-and-white stripes; a red cap has special meaning in the Igbo community; and Yoruba women have a particular way of tying their hair “From a visual perspective, there are many, many versions of Nigeria,” Atewologun said
  • Unpacking Cultural Bias in AI Image Generation: A Closer Look . . .
    If the training data over-represents certain cultural attire or characteristics, the AI will likely reflect that bias, as seen in this case with the turban Stereotyping Complexities: Turbans, while significant within certain states and communities in India, make up a small fraction of the population
  • Artificial intelligence may affect diversity: architecture . . .
    AI-generated recommendations and images of Stockholm’s cultural context were compared with real photographs, GIS demographic data and socio-economic information about the city





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