Gender Mobility

Gender mobility research investigates how gender disparities manifest and evolve across various domains, particularly in the labor market and online interactions. Current studies utilize computational methods, including large language models (LLMs) and machine learning algorithms, to analyze gender bias in areas like hiring practices, language translation, and social media data. These analyses reveal persistent gender biases in algorithmic systems and highlight the need for fairer and more inclusive models, impacting both the development of responsible AI and our understanding of societal gender dynamics. The ultimate goal is to identify and mitigate biases that perpetuate gender inequality.