Understanding the COVID-19 Data Quality Problem with Sherri Rose - #374
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)11 Maj 2020

Understanding the COVID-19 Data Quality Problem with Sherri Rose - #374

Today we’re joined by Sherri Rose, Associate Professor at Harvard Medical School. We cover a lot of ground in our conversation, including the intersection of her research with the current COVID-19 pandemic, the importance of quality in datasets and rigor when publishing papers, and the pitfalls of using causal inference. We also touch on Sherri’s work in algorithmic fairness, the shift she’s seen in fairness conferences covering these issues in relation to healthcare research, and a few recent pape

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