Sarah Jarvis

Why Society Needs Diversity in AI

AI has a diversity problem. Too few women and people from diverse cultural or economic backgrounds are making it into the industry. This matters not just for those who are unfairly prevented from becoming data scientists, but for society as a whole. Tackling that lack of diversity could be the difference between a world where AI plays an overwhelmingly positive role in humanity's future, and one where it amplifies biases and division. Dr Sarah Jarvis is a leading computer engineer and neuroscientist with a career founded on applying intelligent solutions to real-world problems. As Head of Data Science at in Cambridge, she works with a global team of researchers and engineers in building’s ground-breaking decision-making platform. She trained at Freiburg University in Germany and Imperial College in London. Prior to joining, she worked in public health, building machine learning tools to help developing countries decide how to best allocate budgets for their health programmes. Working closely with the World Bank, she helped to guide the spending of budgets worth in total more than $250 million.

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