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 corporations 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 is a product manager at IQVIA on a healthcare EMR data software platform and a volunteer at DataKind UK, where she consults with charities and nonprofits to find stories and insights in data. Christine is interested in the ethical and social impacts of data and technology and led the development of DataKind UK’s ethical principles for volunteers. Previously, Christine served in data-related roles in healthcare market forecasting, analysis, and market access. She holds a PhD in physical chemistry and a law degree.
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