From AI Bias to AI by Us, for All of Us.

Speaker: Dr. Leo Anthony Celi, Senior Research Scientist, Massachusetts Institute of Technology

Title: From AI Bias to AI by Us, for All of Us

Abstract: 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? There is no doubt that AI will play a huge role in transforming the way we care for our patients. The legacy of AI is making us better systems thinkers. The creation of AI that will deliver the promise of improved outcomes is not just about building machine learning models. It is about redesigning our knowledge systems, our systems for education, our systems for innovation. 

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. 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.