Socio Demographic
Sociodemographic research investigates how demographic factors (age, gender, race, etc.) influence various aspects of human behavior and technology performance. Current research focuses on mitigating biases in AI systems, particularly in areas like biometric authentication, remote identity verification, and natural language processing, often employing techniques like fairness-aware machine learning algorithms and distributionally robust optimization. This work is crucial for ensuring equitable access to technology and accurate representation in data-driven applications, ultimately promoting fairness and reducing societal disparities.
Papers
Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts
Xuyang Wu, Yuan Wang, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang
Beyond Demographics: Aligning Role-playing LLM-based Agents Using Human Belief Networks
Yun-Shiuan Chuang, Krirk Nirunwiroj, Zach Studdiford, Agam Goyal, Vincent V. Frigo, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers