AI for Societal Progress

Harnessing Artificial Intelligence for Equity, Growth, and Sustainability

This policy frames AI not as a threat but as a tool to drive progress on society’s toughest challenges—economic inequality, climate change, healthcare access, and fiscal sustainability. By channeling AI’s power into socially beneficial outcomes, we can create a future where innovation supports communities, strengthens opportunity, and improves quality of life.

    • Economic resilience: Deploy AI to support workforce mobility, reskilling, and the creation of new middle-class career pathways.

    • Healthcare transformation: Use AI to expand access, improve diagnosis and treatment, and streamline healthcare administration while preserving the human touch of care.

    • Climate action: Leverage AI to reduce emissions, optimize renewable energy grids, and enable smarter resource management.

    • Fiscal sustainability: Apply AI-driven efficiencies in government operations and tax collection to reduce waste, strengthen revenues, and address the national debt.

    • Social equity: Ensure AI systems actively mitigate bias, broaden access to opportunity, and empower historically underserved communities.

    • Public trust & democracy: Foster transparency, accountability, and ethical use of AI to reinforce—not erode—trust in democratic institutions.

  • Workers

    • Expanded access to retraining programs powered by AI-driven skills mapping.

    • Fairer hiring systems that minimize bias and open doors for diverse talent.

    • Assurance that innovation translates into shared prosperity, not prolonged unemployment.

    Communities

    • Cleaner air, smarter cities, and climate adaptation powered by predictive AI systems.

    • Better access to healthcare, with AI helping doctors serve more patients efficiently.

    • Stronger safety nets, with fraud-resistant social programs that deliver aid quickly and fairly.

    Government & Policy

    • AI-guided fiscal reforms that reduce deficits while preserving critical services.

    • Real-time monitoring of policy outcomes to adapt faster and with better precision.

    • Incentives for companies to prioritize equity and environmental responsibility alongside innovation.

  • Next 6–12 months

    • Launch pilot projects in healthcare, climate adaptation, and workforce reskilling.

    • Establish transparency benchmarks for AI systems in public-sector applications.

    1–3 years

    • Scale renewable energy integration programs guided by AI optimization.

    • Embed AI-driven fraud detection and efficiency tools into federal and state agencies.

    • Expand reskilling hubs for displaced workers in sectors like clean energy and healthcare.

    5 years+

    • Demonstrate measurable reductions in emissions, improved healthcare access, and stabilized debt-to-GDP trends through AI-enabled policy interventions.

    • Normalize AI as a partner in public good, not just private profit.

    • % of displaced workers re-employed in growth sectors.

    • Reduction in healthcare wait times and administrative costs.

    • Decline in national emissions tied to AI-optimized climate interventions.

    • Increase in recovered federal revenue through AI-enhanced compliance.

    • Public trust index on government AI use and fairness in opportunity.

  • This framework is derived from multiple rounds of ChatGPT research and Kevin Bihan-Poudec’s open letter to the U.S. Congress, “Act Now” (March 2024), which called for leveraging AI to address urgent socio-economic challenges facing the nation. Together, they form the foundation for a comprehensive approach to harnessing AI in service of society.

    Read the Act Now letter (March 2024)