Investing in Community Learning Ecosystems
Summary
Developed during a different industrial era, today’s education system was never designed to meet modern learners’ needs. This incongruity has heaped systemic problems upon individual educators, blunted the effectiveness of reforms, and shortchanged the nation’s most vulnerable young people — outcomes exposed and exacerbated by COVID-19. Building back better in a post-pandemic United States will require federal investments not only in schools, but in “learning ecosystems” that leverage and connect the assets of entire communities. Tasked with studying, seeding, and scaling these ecosystems in communities across the country, a White House Initiative on Community Learning Ecosystems would signal a shift toward a new education model, positioning the United States as a global leader in learning.
These fellows will be working to turn ambitious ideas into actionable policy – from improving how frontier AI models are evaluated for government use to strengthening biosecurity protections and building the workforce needed to keep AI systems safe.
AI’s high-stakes outputs directly shape American economic, industrial, and technological outcomes. They must not be accepted entirely on the basis of institutional faith rather than verifiable evidence.
The clearinghouse will also neutrally mediate the assignment of auditors to audits—strengthening independence, trust, and ethical governance across the AI ecosystem.
Soft law was never meant to be a permanent solution. Treating it as one, and letting the sandcastle stand in for the skyscraper indefinitely, is how we end up with a decade of voluntary commitments and no enforceable accountability to show for it.