Gender Identity

Gender identity research currently focuses on understanding and mitigating biases related to gender in artificial intelligence models, particularly in natural language processing and image generation. Studies employ various techniques, including analyzing emotional attribution in large language models, developing frameworks to detect gender bias in legal texts, and assessing the impact of gender-inclusive language on model performance. This work is crucial for ensuring fairness and equity in AI applications and for advancing our understanding of how societal biases are reflected and potentially amplified by technology.