The world has changed, so the way that we think about what it means to become American must too. But one thing remains the same: A cohesive and inclusive American identity won’t just create itself. It must be forged. And it’s a project that we must all participate in, adapting the successes and avoiding the missteps of the past.
At the Wolf Willow Institute, our work begins with a simple premise: that complexity, consciousness, and ecological belonging are braided. We’re certain that navigating this civilizational inflection point requires more than care and cleverness - it demands a deep shift in consciousness. A move from linear control to relational... See more
More worrisome, most of the policy design that goes on at the level of the State and international organizations sits comfortably within the same epistemic and cultural order that created the problems in the first place. How to go beyond the aporias caused by the fact that we are facing modern problems for which there are no modern solutions... See more
Rawls and Arendt were preoccupied not with feeling but with fairness — an attempt to imagine the world one would want if one were born into a different situation.
We also need to find a higher ground of shared meaning and significance so we all know why we are in this together and why it is worth transcending and including all our differences in pursuit of a shared vision of thriving together .
As I discussed with philosopher and cognitive scientist Andrea Hiott recently, implicit in our embodiment is also our embeddedness in our environment, how we enact our agency, and how our cognition is extended through others.
Because when you train artificial intelligence on a world soaked in inequity, saturated with bias, and riddled with disinformation, you don’t get fairness. You get injustice at scale. You don’t get objectivity. You get bias with an interface. You don’t get solutions. You get systems that do harm faster, deeper, and with more plausible deniability... See more
Sustainable success comes from small, parallel, safe-to-fail experiments and scaling only proven responses, rather than betting big on ambitious but rigid plans.