Andrea G. Parker

Andrea G. Parker

Andrea Parker is a Visiting Faculty Researcher in the Technology, AI, Society & Culture group within Google Research. She is also an Associate Professor in the School of Interactive Computing at Georgia Tech, where she is the founder and director of the Wellness Technology Research Lab. Her research lies at the intersection of human-computer interaction (HCI), social computing, and public health. She designs, builds, and evaluates the impact of software tools that help people manage their health and wellness, with a specific focuses on health disparities, participatory artificial intelligence, and community-engaged research.
Authored Publications
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    Preview abstract As artificial intelligence (AI) is rapidly integrated into healthcare, ensuring that this innovation helps to combat health inequities requires engaging marginalized communities in health AI futuring. However, little research has examined Black populations’ perspectives on the use of AI in health contexts, despite the widespread health inequities they experience–inequities that are already perpetuated by AI. Addressing this research gap, through qualitative workshops with 18 Black adults, we characterize participants’ cautious optimism for health AI addressing structural well-being barriers (e.g., by providing second opinions that introduce fairness into an unjust healthcare system), and their concerns that AI will worsen health inequities (e.g., through health AI biases they deemed inevitable and the problematic reality of having to trust healthcare providers to use AI equitably). We advance health AI research by articulating previously-unreported health AI perspectives from a population experiencing significant health inequities, and presenting key considerations for future work. View details
    Participatory AI Considerations for Advancing Racial Health Equity
    Jatin Alla
    Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI) (2025) (to appear)
    Preview abstract Health-related artificial intelligence (health AI) systems are being rapidly created, largely without input from racially minoritized communities who experience persistent health inequities and stand to be negatively affected if these systems are poorly designed. Addressing this problematic trend, we critically review prior work focused on the participatory design of health AI innovations (participatory AI research), surfacing eight gaps in this work that inhibit racial health equity and provide strategies for addressing these gaps. Our strategies emphasize that “participation” in design must go beyond typical focus areas of data collection, annotation, and application co-design, to also include co-generating overarching health AI agendas and policies. Further, participatory AI methods must prioritize community-centered design that supports collaborative learning around health equity and AI, addresses root causes of inequity and AI stakeholder power dynamics, centers relationalism and emotion, supports flourishing, and facilitates longitudinal design. These strategies will help catalyze research that advances racial health equity. View details
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