DataKind uses machine learning and AI to address complex challenges like global health, education, and climate change. The company has used satellite imagery to detect crop disease in Ethiopia, open data to combat corruption in the extractives industry, and predictive modeling to identify food bank users in need of extra help. DataKind bridges the gap between visionary social impact leaders and expert technologists to create safer, more ethical technologies not just to battle the problems we have today but to build a better tomorrow.
Many of DataKind’s projects involve sensitive data on vulnerable groups. DataKind acknowledges its responsibility to use this data appropriately. In 2017, the company crowdsourced a set of practical principles within its community. This is our Hippocratic oath:
Kate Vang and Christine Henry explain what socially conscious AI looks like, what DataKind is doing to make it a reality, and some of the ethical conundrums they’ve encountered.
Kate Vang is a data scientist at the One Campaign and a chapter lead at DataKind UK, where she consults with charities, NGOs and corporates to find stories and insights in data. Previously, Kate worked in investment management at Värde Partners, where she held roles across risk management, trading, investment, data strategy, and portfolio strategy.
Christine Henry works as a product manager at IQVIA on a healthcare EMR data software platform, and is a volunteer at DataKind UK, where she consults with charities and non-profits to find stories and insights in data. Previously Christine has held data-related roles in healthcare market forecasting, analysis, and market access, after moving from a PhD in physical chemistry and a law degree. She is interested in the ethical and social impacts of data and technology and led on the development of DataKind UK’s ethical principles for volunteers.
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