Understanding the COVID-19 Data Quality Problem with Sherri Rose

This article from Practical AI discusses a conversation with Sherri Rose, an Associate Professor at Harvard Medical School. The focus is on data quality, particularly in the context of the COVID-19 pandemic. The discussion covers the importance of rigorous data analysis and publication practices, the challenges of causal inference, and Sherri's work on algorithmic fairness within healthcare research. The article highlights the need for careful consideration of data quality and ethical implications in AI and healthcare.