This paper presents a community-centered study of cultural limitations of text-to-image (T2I)
models in the South Asian context. We theorize these failures using scholarship on …

Research on technology companies and their workers can externalize otherwise invisible
and tacit workplace approaches, identify organizational constraints to creating more ethical …

Responding to the rapid roll-out and large-scale commercialization of foundation models,
large language models, and generative AI, an emerging body of work is shedding light on …

Large language models (LLMs) with chat-based capabilities, such as ChatGPT, are widely
used in various workflows. However, due to a limited understanding of these large-scale …

Traditional accessibility methods like alternative text and data tables typically
underrepresent data visualization's full potential. Keyboard-based chart navigation has …

A large body of research has attempted to ensure that algorithmic systems adhere to notions
of fairness and transparency. Increasingly, researchers have highlighted that mitigating …

As GenAI becomes embedded in developer toolchains and practices, and routine code is
increasingly generated, human creativity will be increasingly important for generating …

Large language models (LLMs) are being increasingly integrated into everyday products
and services, such as coding tools and writing assistants. As these embedded AI …

This paper reports on disability representation in images output from text-to-image (T2I)
generative AI systems. Through eight focus groups with 25 people with disabilities, we found …

The importance of addressing fairness and bias in artificial intelligence (AI) systems cannot
be over-emphasized. Mainstream media has been awashed with news of incidents around …