To recognize and mitigate harms from large language models (LLMs), we need to understand the prevalence and nuances of stereotypes in LLM outputs. Toward this end, we …
Data is a crucial component of machine learning. The field is reliant on data to train, validate, and test models. With increased technical capabilities, machine learning research has …
Academics and companies increasingly draw on large datasets to understand the social world, and name-based demographic ascription tools are widespread for imputing …
With increased focus on historically excluded populations, there have been recent calls for HCI research methods to more adequately acknowledge and address the historical context …
The field of digital mental health is making strides in the application of technology to broaden access to care. We critically examine how these technology-mediated forms of care …
Workplaces are increasingly adopting emotion AI, promising benefits to organizations. However, little is known about the perceptions and experiences of workers subject to …
With the growing reliance on artificial intelligence (AI) for many different applications, the sharing of code, data, and models is important to ensure the replicability and …
Let us start with an everyday story common to the world of internet users. It is April 2021 in the United Kingdom. Thirty-year-old Lara is a healthy and active individual. In the evening …
As AI systems are integrated into high stakes social domains, researchers now examine how to design and operate them in a safe and ethical manner. However, the criteria for identifying …