Gender Inequality

Gender inequality research focuses on identifying and mitigating biases stemming from societal norms and their reflection in various data sources, including language and media. Current research utilizes natural language processing techniques, particularly large language models, to analyze text and images for gender stereotypes and disparities in representation, evaluating both the models themselves for inherent biases and their impact on downstream applications. These studies highlight the pervasive nature of gender bias across multiple domains and underscore the need for developing fairer and more equitable algorithms and systems, with implications for social sciences, technology, and policy-making.