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America’s AI Action Plan

As explained in Introduction to Generative AI, Second Edition

An AI Action Plan is a policy plan that sets governmental priorities and initiatives for artificial-intelligence development and deployment.

America’s AI Action Plan is a United States policy framework for advancing artificial intelligence through innovation, infrastructure, and international strategy. It emphasizes global competitiveness, economic benefits, human flourishing, and national security while explicitly seeking to prevent China from becoming the world’s AI leader. section 10.29

The plan is organized around three pillars:

  • Accelerate AI innovation by reducing red tape, encouraging open-source and open-weight systems, and investing in education and adoption. section 10.29
  • Build American AI infrastructure through streamlined data-center permitting, stronger energy infrastructure, and improved cybersecurity. section 10.29
  • Lead in international AI diplomacy and security through strategic exports, export controls, and national-security assessments. section 10.29

The plan combines continuity with reversal. It retains interest in interpretability, control, robustness, and high-quality datasets, but recommends revising the 2023 Risk Management Framework to remove references to climate change, misinformation, and diversity, equity, and inclusion. Its innovation-first orientation differs from the European Union’s risk-based AI Act and from earlier United States guidance. section 10.29 section 10.35

Policy priorities in practice

A proposed research program on AI interpretability, control, and robustness illustrates the plan’s continuing attention to technical reliability, while infrastructure permitting and strategic chip controls illustrate its economic and national-security priorities. section 10.29

How Introduction to Generative AI, Second Edition covers it

How deep it goes
Defines three pillars and selected policy measures, while leaving implementation and outcomes largely unspecified.
Examples
Uses open-weight AI, data centers, energy-grid improvements, interpretability research, datasets, and strategic exports as examples.
What you can do after
Evaluate/understand United States AI priorities across innovation, infrastructure, international competition, and governance.
How it connects
Connects AI innovation with infrastructure, cybersecurity, education, export controls, national security, and AI governance.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Introduction to Generative AI, Second Edition. The section links point to the parts of the book it draws on.