Do you trust machine learning (ML) models in for your work? Jon Stokes, Trey Ideker, and Veronica DeFelice discuss how the need to understand a ML model’s reasoning varies by scientific context. . . . Did you miss this roundtable webinar from June? It's available to watch on-demand, here: https://www.the-scientist.com/research-roundtable-the-artificial-intelligence-revolution-72963 | The Scientist

15K views · 254 reactions | This short report on how Britain is following a very different approach to other countries on tackling the #coronavirus underlines why the Government should now publish its scientific modelling and explain the conclusions it has drawn. | Richard Burgon | Facebook