Daniel First is a data scientist at QuantumBlack. He’s worked with doctors and healthcare companies to design innovative, data-driven solutions to improve outcomes for patients by forecasting and preventing medical risks, and he’s also developed an approach to operationalize risk management for teams building machine learning models. He publishes on the social and political impact of artificial intelligence and speaks about the importance of making machine learning algorithms’ decisions interpretable to humans, most recently at the University of Oxford Mathematical Institute. He holds a BA in cognitive science and neuroscience from Yale University, an MPhil in philosophy from the University of Cambridge, where he specialized in the history of ethical thought, and an MS in data science from Columbia University.
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