St. Paul's Hospital
Anita Ho, PhD, MPH
Associate Professor, Centre for Applied Ethics, University of British Columbia
Associate Adjunct Professor, Bioethics Program, University of California, San Francisco
Please note: This presentation is taking place on TUESDAY, October 8 rather than the usual Wednesday.
Deep Ethical Learning for Artificial Intelligence in Health Care
The increasing availability of digital data and expanding capability of computing architectures have advanced the application of artificial intelligence (AI) in health care. From predicting medical cond-itions to administering health behavior interventions, deep learning is being deployed to analyze vast amount of data, identify patterns, and categorize information to help clinicians make decisions that can enhance patient care and outcomes. However, as some have argued, an over-reliance on automated technologies may not only depersonalize medical interactions and erode therapeutic relationships, but also exacerbate access disparity and waste valuable health resources in unexpected ways. Recognizing that AI design is both a technical and social process, this presentation will draw on lessons from ongoing collaborative projects that explore various ethical considerations in developing and implementing intelligent health technologies in the care pathways. Looking at various use cases of AI in health care, this presentation will discuss how multidisciplinary AI teams can iteratively integrate pertinent ethical considerations into their technological design to promote person-centred and high-value care.
Work in Progress (WiP) presentations take place at St. Paul’s Hospital on alternating Wednesdays from 12:00–1:00 PM. These seminars provide investigators with an opportunity to present ongoing research, obtain feedback from colleagues and peers, and make new connections for their projects. Talks are open, and a light lunch is served.
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