December 9, 2019

258 words 2 mins read

Executive Briefings: Killer robots and how not to do data science

Executive Briefings: Killer robots and how not to do data science

Not a day goes by without reading headlines about the fear of AI or how technology seems to be dividing us more than bringing us together. DataKind UK is passionate about using machine learning and artificial intelligence for social good. Kate Vang and Christine Henry explain what socially conscious AI looks like and what DataKind is doing to make it a reality.
Talk Title Executive Briefings: Killer robots and how not to do data science
Speakers Kate Vang (DataKind UK), Christine Henry (DataKind UK)
Conference Strata Data Conference
Conf Tag Making Data Work
Location London, United Kingdom
Date May 22-24, 2018
URL Talk Page
Slides Talk Slides
Video

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.

health open data safe climate vulnerable data science ai machine learning satellite
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