Socioeconomic Bias

Socioeconomic bias, the systematic disparity in outcomes based on socioeconomic status, is increasingly recognized as a significant problem within artificial intelligence (AI) systems. Current research focuses on identifying and quantifying this bias in large language models and computer vision systems, often employing techniques like natural language processing and statistical modeling to analyze large datasets and assess model performance across different socioeconomic groups. These findings highlight the urgent need for bias mitigation strategies in AI development to ensure fairness and equity in applications ranging from loan approvals to healthcare access and urban planning, ultimately impacting the design of more just and inclusive technologies.