Scholars have recently drawn attention to a range of controversial issues posed by the use
of computer vision for automatically generating descriptions of people in images. Despite …

Research advancements allow computational systems to automatically caption social media
images. Often, these captions are evaluated with sighted humans using the image as a …

We designed and deployed automatic alt-text (AAT), a system that applies computer vision
technology to identify faces, objects, and themes from photos to generate photo alt-text for …

Content creators are instructed to write textual descriptions of visual content to make it
accessible; yet existing guidelines lack specifics on how to write about people's appearance …

The potential of artificial intelligence (AI)-based large language models (LLMs) holds
considerable promise in revolutionising education, research and practice. However …

The access of visually impaired users to imagery in social media is constrained by the
availability of suitable alt text. It is unknown how imperfections in emerging tools for …

Machine learning models that convert user-written text descriptions into images are now
widely available online and used by millions of users to generate millions of images a day …

This paper contains images and descriptions that are offensive in nature. Large datasets
underlying much of current machine learning raise serious issues concerning inappropriate …

Few images on the Web receive alt-text descriptions that would make them accessible to
blind and low vision (BLV) users. Image-based NLG systems have progressed to the point …

Artificial Intelligence (AI) can generate text virtually indistinguishable from text written by
humans. A key question, then, is whether people believe news headlines generated by AI as …