CHI papers researching healthcare human-computer interaction (HCI) are increasingly
reporting the use of “thematic analysis”(TA). TA refers to a range of flexible and evolving …

Artificial intelligence (AI) and machine learning (ML) are quickly becoming pervasive in ways
that impact the lives of all humans across the globe. In an effort to make otherwise” black …

Most prior work on human-AI interaction is set in communities that indicate skepticism
towards AI, but we know less about contexts where AI is viewed as aspirational. We …

Recently, the AI/ML research community has indicated an urgent need to establish
Responsible AI (RAI) values and practices as part of the AI/ML lifecycle. Several …

Field workers, like farmers and radiologists, play a crucial role in dataset collection for AI
models in low-resource settings. However, we know little about how field workers' expertise …

Stereotypes, bias, and discrimination have been extensively documented in Machine
Learning (ML) methods such as Computer Vision (CV)[18, 80], Natural Language …

Social development organizations increasingly employ artificial intelligence (AI)-enabled
tools to help team members collaborate effectively and efficiently. These tools are used in …

We present a qualitative study with 36 diverse social media users in India to critically
examine how low-resource communities engage with fake videos, including cheapfakes and …

Research background: As Artificial Intelligence (AI) weaves into the fabric of daily life, its
societal and economic implications underscore the urgency of embracing an environment …

The topic of algorithmic fairness is of increasing importance to the Human–Computer
Interaction research community following accumulating concerns regarding the use and …