Events News

AI Meets Ethics Speaker Series (Apr 17)

The UBC Data Science and Health (DASH) Research Cluster is excited to launch their new AI Meets Ethics Speaker Series […]

The UBC Data Science and Health (DASH) Research Cluster is excited to launch our new AI Meets Ethics Speaker Series! This series will explore the ethical implications of, and considerations for, implementing AI technologies in healthcare. The first session features DASH Cluster’s EDI Co-Lead, Dr. Charlene Ronquillo. This event is free and open to everyone – for more information, please visit our event page.

Registration is required:

Abstract: As health systems increasingly embrace and strive for fully digitalised healthcare systems, enthusiasm for technological progress coupled with uncritical approaches has sometimes meant that existing societal inequities are inadvertently embedded in health technologies. We have unfortunately witnessed harms that can result from algorithmic bias, such as the famous example of an AI algorithm that demonstrated racial bias when assigning risk scores. Moreover, the Covid-19 pandemic has thrust into the spotlight the foundational structures that uphold and shape our health systems, including the limitations of legacy health information infrastructures in capturing complete and representative data for different populations. This seminar brings together discussions of health equity and data foundations with the aim of catalyzing conversations about wicked problems related to data quality in health systems and downstream implications for the development of equitable AI for health.

Speaker Bio: Dr. Ronquillo is a Filipina scholar, Registered Nurse, health informatician, and the Lead of the Health Informatics Equity Lab at the UBCO School of Nursing. The goal of her work is to improve equity in BC’s healthcare with thoughtful and inclusive technologies. Dr. Ronquillo’s ongoing research aims to ensure the meaningful inclusion of non-dominant groups in the conceptualization, design, development, and implementation of health technologies in health systems. Her expertise lies in mixed methods, participatory, and co-production approaches, software design/development methods, and the technology lifecycle: from conceptualization to evaluation and refinement.

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