Christo El Morr, PhD
Smart Health and Equity: Mitigation AI biases
Artificial intelligence and machine learning are becoming more present in several sectors in society today and are expected to become more pervasive in the future. These technologies have proven to be effective in a variety of fields including healthcare; however, in addition to the fact that they can provide incorrect outcomes which may inflict harm (e.g., incorrect diagnoses). AI displays an important shortcoming in the form of biases that have the potential to propagate or embolden currently existing biases including social biases, racial biases, gender biases and health biases.
This talk will present and overview of AI applications in healthcare (including in virtual care), opportunities for research in the field, and the multiple types of biases that could be exacerbated when AI is used for health. Potential future multidisciplinary research in the field will be suggested.
Dr. Christo El Morr is an Associate Professor of Health Informatics, the Health Informatics Certificate
Coordinator, and former Undergraduate and Graduate Program Director at the School of Health Policy and Management at York University; he is also a Research Scientist at North York General Hospital, Toronto.
His research subscribes in an Equity Informatics perspective; it covers Patient-Centered Virtual Care (e.g., chronic disease management, mental health), Global Health Promotion for equity (e.g., equity health promotion), Human Rights Monitoring (e.g., disability rights, gender-based violence), and Equity AI (e.g., patient readmission, disability advocacy).
Prof. Dr. Sebastian von Mammen
Empowering Health Experts to Design and Use Virtual Reality Experiences
Since 2018, we have been working on VIA-VR, a versatile and yet accessible platform to designing, deploying, using and sharing Virtual Reality experiences in the health domain. Together with our partners, we are in the process of refining and integrating various system components, for instance to compose virtual environments, populate them with engaging contents, to scan and embed custom avatars, or to define and acquire physiological user data.
In this talk, I will present our successes so far in terms of engineering the platform but also in terms of the individual components that we have been researching and integrating. Based on our development agenda and the given status quo, I will outline potential future works, e.g. towards social experiences and Augmented Reality, and hint at potential future scientific impacts of the platform.
In January 2017, Sebastian von Mammen joined the University of Würzburg’s Institute for Computer Science as a tenured professor. He is heading the Games Engineering research group at the Chair for Human-Computer Interaction. Before, he had studied and worked at the Universities of Erlangen, Calgary (PhD), and Augsburg (habilitation). By now, he has authored or co-authored more than one hundred publications, has won numerous research awards, acquired significant research grants, and has been an active member of several scientific communities (especially Games, Serious Games, Artificial Life, Organic Computing). Despite his urge towards human-centered, application-oriented research, he has been setting up basic research agendas over the past few years, for instance with respect to large interactive agent-based simulations, interactive Artificial Intelligence, and ontology-driven serious games design.