Harms in Text-to-Image Generation with focus on Global South

With the increasing integration of advanced generative models in real-world systems, concerns have emerged about these models’ biases, particularly favoring majority demographics across sociodemographic lines. This work offers a critical review of research addressing these social harms and presents open-ended research questions to stimulate further inquiry and guide future efforts in mitigating biases in AI systems.