About the project
This project develops next-generation Vision-Language Models (VLMs) sensitive to cultural diversity, addressing critical biases in current AI systems. Current VLMs often perpetuate harmful stereotypes due to their training data. This research investigates how cultural biases manifest in VLMs and develops innovative mitigation techniques, leading to more inclusive and equitable AI.
Building upon the NVIDIA-funded project, this project will develop novel architectures and training strategies to create culturally sensitive VLMs that understand and respect diverse visual and linguistic representations. You'll investigate cross-cultural variations in visual semantics, explore methods for mitigating bias, and contribute to a more equitable and inclusive AI landscape.
You'll gain expertise in cutting-edge deep learning, computer vision, natural language processing, and ethical AI development. You'll contribute to shaping the future of AI, ensuring it reflects the richness of human cultures. This high-impact research opens doors to top academic positions, research roles in industry, and opportunities to influence AI policy.
You'll explore novel architectures, training strategies, and evaluation metrics for culturally aware VLMs. This involves working with large datasets, developing new algorithms, and collaborating with researchers in related fields, such as linguistics, and cultural studies.
This research will contribute to a more equitable and inclusive AI landscape. Culturally aware VLMs are essential for applications like cross-cultural communication, education, and accessibility, fostering greater understanding and respect between different cultures.
