AI Wonk contributor
Stephanie Cairns contributed to the OECD’s Science and Technology Policy Division’s project that used text mining and data analysis tools to identify, measure, and analyze government-funded artificial intelligence (AI) research. She also conducted a method review and built a deep learning prototype to identify research related to the UN’s Sustainable Development Goals. 
In summer 2021, Stephanie will complete her MSc in applied mathematics from McGill University. Her research focuses on bias in machine learning systems, with a particular emphasis on facial recognition technology. She is also deeply interested in the intersection of AI and public policy. She holds a BSc in mathematics from the University of Prince Edward Island, where she was awarded the Governor General’s Academic Medal for the highest standing in her graduating class.

Disclaimer: The opinions expressed and arguments employed herein are solely those of the authors and do not necessarily reflect the official views of the OECD or its member countries. The Organisation cannot be held responsible for possible violations of copyright resulting from the posting of any written material on this website/blog.