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 ideas aim to advance the detailed policy solutions needed to foster public trust and implement fairness in the adoption of AI across diverse domains, from healthcare and government benefits to rural access, education, and worker protections.
The evidence is clear: algorithmic pay-setting is established in app-based work, and payroll/timekeeping failures show how software can produce systemic wage harm at scale
While a few states have taken steps to implement decision-making mechanisms for certain AI systems, too many leaders are simply accepting narratives about AI’s purported public benefit at face value – jumping to the “how” of AI implementation before thoroughly vetting potential systems and deciding whether they are appropriate to use at all.
When properly structured — with specific numeric targets, secured financial obligations, independent monitoring, and meaningful enforcement — CBAs transform data center deals into durable community partnerships.