Cultural Background

Cultural background significantly influences how humans perceive and interact with the world, impacting everything from language and visual perception to online behavior and mental health. Current research focuses on understanding and mitigating cultural biases in artificial intelligence models, particularly large language models (LLMs) and vision-language models, using techniques like instruction tuning and fine-tuning with culturally relevant datasets. This work is crucial for developing more inclusive and equitable AI systems and for advancing our understanding of cross-cultural communication and cognition in both human and artificial systems.