5 papers
Towards A Cultural Intelligence and Values Inferences Quality Benchmark for Community Values and Common Knowledge
Brittany Johnson, Erin Reddick, Angela D. R. Smith
Large language models (LLMs) have emerged as a powerful technology, and thus, we have seen widespread adoption and use on software engineering teams. Most often, LLMs are designed…
A Preliminary Framework for Intersectionality in ML Pipelines
Michelle Nashla Turcios, Alicia E. Boyd, Angela D. R. Smith +1
Machine learning (ML) has become a go-to solution for improving how we use, experience, and interact with technology (and the world around us). Unfortunately, studies have repeated…
Exploring Culturally Informed AI Assistants: A Comparative Study of ChatBlackGPT and ChatGPT
Lisa Egede, Ebtesam Al Haque, Gabriella Thompson +3
In recent years, we have seen an influx in reliance on AI assistants for information seeking. Given this widespread use and the known challenges AI poses for Black users, recent ef…
An Investigation of Experiences Engaging the Margins in Data-Centric Innovation
Gabriella Thompson, Ebtesam Al Haque, Paulette Blanc +4
Data-centric technologies provide exciting opportunities, but recent research has shown how lack of representation in datasets, often as a result of systemic inequities and socioec…
What Makes An Expert? Reviewing How ML Researchers Define "Expert"
Mark DÃaz, Angela DR Smith
Human experts are often engaged in the development of machine learning systems to collect and validate data, consult on algorithm development, and evaluate system performance. At t…