Abstract Machine translation (MT) technology has facilitated our daily tasks by providing
accessible shortcuts for gathering, processing, and communicating information. However, it …

Recently, DALL-E, a multimodal transformer language model, and its variants including
diffusion models have shown high-quality text-to-image generation capabilities. However …

Large language models produce human-like text that drive a growing number of
applications. However, recent literature and, increasingly, real world observations, have …

The world of pronouns is changing. From a closed class of words with few members to a
much more open set of terms to reflect identities. However, Natural Language Processing …

Taking an interdisciplinary approach to surveying issues around gender bias in textual and
visual AI, we present literature on gender bias detection and mitigation in NLP, CV, as well …

Critical scholarship has elevated the problem of gender bias in data sets used to train virtual
assistants (VAs). Most work has focused on explicit biases in language, especially against …

Image generation models can generate or edit images from a given text. Recent
advancements in image generation technology, exemplified by DALL-E and Midjourney …

Gender stereotypes remain common in US society and harm people of all genders.
Focusing on binary genders (women and men) as a first investigation, we empirically study …

Text-to-image models, such as Stable Diffusion (SD), undergo iterative updates to improve
image quality and address concerns such as safety. Improvements in image quality are …

The global film industry is shaped by gender inequality. Women are structurally
underrepresented in professional roles that include high levels of creative and economic …