Organizers

Ruyuan Wan

 is a PhD student at the University of Notre Dame in the Computer Science and Engineering Department. She works at the intersection of Human-Computer Interaction and Natural Language Processing with a social computing orientation. Her research focuses on how to promote online safety for marginalized populations.

Adriana Alvarado

is a research scientist at IBM Research, working with the Responsible and Inclusive Technologies research team. In her current role, she contributes to creating frameworks, methods, and tools that help researchers, and practitioners become more aware of the larger social, historical, and political contexts surrounding the technologies they design and deploy.

Devansh Saxena

is a Presidential Postdoctoral Fellow at Carnegie Mellon University in the Human-Computer Interaction Institute. He studies algorithmic decision-making in the public sector, especially the child welfare system. His research examines collaborative governance labor where decisions are mediated by policies, practice, and algorithms.

Catalina Vajiac

is a Ph.D. student at Carnegie Mellon University in the Computer Science Department. Her research is focused on AI and visualization for social good, including finding human sex trafficking online and better prioritization of financial resources to those at risk of falling into homelessness.

Anna Kawakami

is a PhD student in the Human-Computer Interaction Institute at Carnegie Mellon University. She studies the design, use, and downstream impacts of AI systems on communities, workplace dynamics, and governance practices in real-world organizations (e.g., public sector agencies).

Logan Stapleton

is a Ph.D. student in the GroupLens Lab at University of Minnesota and a visiting student at Carnegie Mellon University. Their work focuses on harm, discrimination, and carcerality in algorithms used in social work domains, particularly child welfare and suicide prevention. Their current work explores how to design to better support suicidal people online.

Haiyi Zhu

is the Daniel P. Siewiorek Associate Professor of Human-Computer Interaction and the Director of HCI Undergraduate Programs at Carnegie Mellon University. She is interested in incorporating stakeholder values and social considerations into the creation and evaluation process of AI technologies. She has conducted several projects that focus on studying the design and social impacts of AI in child welfare, online content moderation, and mental health.

Kenneth Holstein

is an Assistant Professor of Human-Computer Interaction at Carnegie Mellon University, where he directs the CoALA Lab. His work explores human-AI complementarity and AI-augmented work in settings such as social work, education, and design. He is interested in improving the way human-AI decision systems are designed, developed, and evaluated in real-world settings.

Heloisa Candello

is a research scientist and a manager of the Human-centred & responsible tech, at the IBM Research laboratory in Brazil. Her main research interest is applying design methods to understand how people interact with Artificial Intelligence-based systems, particularly conversational systems. Heloisa leads and conducts research activities in HCI to understand the social impact, and motivation of using conversational technologies. Her research has resulted in numerous conference publications (ACM CHI, CUI, CSCW, DRS, DUXU, IUI) and recognition in the HCI field. Heloisa has also organized several workshops and conferences in the area.

Karla Badillo-Urquiola

is a Clare Boothe Luce Assistant Professor of Computer Science and Engineering at the University of Notre Dame. She leverages her interdisciplinary expertise to investigate technology-driven solutions that empower people and protect the well-being of youth in marginalized communities, drawing on participatory and critical design methods.