Why haven't the powerful AI interventions of our time, like Google's DeepMind, been at the forefront of developing solutions to the current COVID-19 crisis? The highly sophisticated machine learning programs that establish complex neural networks to make connections and reach meanings without relying on pre-defined behavioral algorithms rely on past data patterns. The bigger and richer the base data, the more robust the solution -- and herein lies the challenge: Events like the current pandemic have no precedent in scale and scope and therefore no historical data to draw upon. Unprecedented risks without past data patterns pose the most significant threat globally, as stated in the World Economic Forum's Global Risk Report 2020. Our collective ability to build resilience and rebound from a crisis -- now and in the future -- depends on the distinctly human capability for proactive planning and navigating new, previously unknown risks that pose a serious global threat.