AI's Impact on Predictive Science

In a Quanta Magazine podcast, statistician Emmanuel Candès discusses how AI and machine learning are transforming the science of prediction across various fields, including college admissions, election forecasting, and drug discovery. The conversation highlights the use of 'black box' models, which can make accurate predictions without a deep understanding of the underlying phenomena, and the importance of quantifying uncertainty in these predictions. Candès emphasizes the evolving role of statistics in this new landscape, advocating for a balance between traditional statistical methods and modern data science techniques.