B2AI Discussion Forum on Emerging ELSI Issues
There has been much discussion about the consequences of AI: accelerated climate change, cementing and augmenting structural inequities because of data and model bias, and entrenching colonial dependencies on large firms that create monopolistic power that limits experimentation and diversity in the market, to name a few. All these beg the question, is AI worth it? Given that the funding and social capital invested in AI siphon from investments in education, infrastructure and materials, how do we decide as a society where and when to draw the line?
Please join us on Tuesday, November 19th at 12pm-1pm PST/3pm-4pm EST for the discussion forum “The ROI of Health AI: We need more roads, not Ferraris”, by Dr. Leo Celi.
Registration not required!
Zoom link:
https://uchealth.zoom.us/j/81753058557
Additional details in the attached documents and message below.
Bio:
Dr. Celi is the principal investigator behind the Medical Information Mart for Intensive Care (MIMIC) and its offsprings, MIMIC-CXR, MIMIC-ED, MIMIC-ECHO, and MIMIC-ECG. With close to 100k users worldwide, an open codebase, and close to 10k publications in Google Scholar, the datasets have undoubtedly shaped the course of machine learning in healthcare in the United States and beyond. His group has written 3 open-access textbooks: “Secondary Analysis of Electronic Health Records” in 2016, “Global Health Informatics: Principles of eHealth and mHealth to Improve Quality of Care” in 2017, and “Leveraging Data Science for Global Health” in 2020. The first has been downloaded over 1.7 million times and translated into Mandarin, Spanish, Korean and Portuguese. The group has created two open online courses, “Global Health Informatics” and “Collaborative Data Science for Healthcare”. Finally, in partnership with hospitals, universities and professional societies across the globe, Dr. Celi and his team have organized over 50 datathons in 22 countries, bringing together students, clinicians, researchers, and engineers to leverage data routinely collected in the process of care.
Links to previous recordings and terms of the month: