Gender Presentation

Gender presentation research investigates how gender is visually and verbally expressed and perceived, focusing on biases embedded in data and algorithms. Current research uses corpus analysis, interviews with transgender individuals, and analyses of image generation models like Stable Diffusion to uncover gender biases in language, virtual environments, and visual datasets. These studies highlight the pervasive nature of gender bias in technology and its impact on fair representation and equitable access to services, prompting the development of bias mitigation strategies in machine learning and a broader awareness of gendered data distributions. The ultimate goal is to create more inclusive and unbiased systems across various applications.