Generative AI Impact on Workforce - Generative AI applications are currently automating administrative jobs largely held by women [1] - Disproportionate impact on women could create further gender inequities [2] - Current AI models are trained on internet data, which is heavily male-dominated [3][4] - Lack of representation of women in training datasets, especially in areas like caregiving and unpaid labor, leads to biased models [4] Addressing Gender Bias in AI - Upper Level is creating a gender dataset to represent women's experiences and challenges [5] - Blending gender data sets could lead to gender equality across broader training sets [6] - Training large language models to be more inclusive can counteract bias [6] Women's Adoption of Generative AI - A significant gap exists in the adoption of generative AI between men and women, potentially around 20 percentage points [8] - Women's lower activity on tech platforms due to misogyny and lack of trust impedes adoption of generative AI [9] - The adoption gap between men and women is widening [10]