In recent years, the CHI community has seen significant growth in research on Human-
Centered Responsible Artificial Intelligence. While different research communities may use …

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 …