03 · Policy Architecture

Three Clusters, Nine Policy Areas

The U.S.–Mexico AI Hub organizes its research, policy analysis, and cross-border engagement across three interconnected clusters addressing the most critical dimensions of artificial intelligence in the binational context.

CLUSTER · 01

Border Affairs

Examining how artificial intelligence is reshaping migration, border governance, trade, and economic integration across the U.S.-Mexico region. Research focuses on cross-border systems, mobility, regional competitiveness, and the evolving role of AI in binational cooperation.

Policy Areas

  • Migration
  • Border Management
  • Trade & Economic Integration
CLUSTER · 02

Governance

Exploring the democratic, security, and ethical implications of AI deployment in public and institutional systems. Research examines cybersecurity, regulation, civic trust, public safety, and the development of responsible AI governance across the United States and Mexico.

Policy Areas

  • Democracy
  • Security
  • Ethics & Compliance
CLUSTER · 03

Innovation

Analyzing how artificial intelligence is transforming healthcare, education, workforce development, and sustainability throughout the Cali-Baja megaregion and beyond. The focus centers on inclusive innovation, emerging technologies, and long-term regional impact.

Policy Areas

  • Healthcare
  • Education & Workforce Development
  • Sustainability

Through interdisciplinary collaboration and comparative binational analysis, the U.S.–Mexico AI Hub aims to generate actionable insights, policy recommendations, and strategic partnerships that advance responsible AI development across North America.

04 · Methodology

From understanding to action

The U.S.-Mexico AI Hub follows a clear, phased methodology designed to move from understanding to action.

05 · Research & Engagement

Public Policy-Oriented Research and Engagement Framework

The U.S.-Mexico Task Force on AI is structured around an integrated research and engagement framework designed to produce actionable public policy insights through empirical analysis, practitioner engagement, and knowledge translation.

Conduct semi-structured interviews with AI practitioners, policymakers, researchers, and civil society leaders from Mexico and the United States, with particular emphasis on California-Baja California stakeholders. Interviews will explore:

  • Current AI applications and challenges in their respective domains
  • Regulatory perspectives and compliance experiences
  • Cross-border collaboration opportunities and barriers
  • Ethical considerations and risk assessments

Deliverables

  • Policy briefs translating research into actionable recommendations
  • Video interviews with stakeholders and experts
  • Infographics make complex policy landscapes accessible
  • Case studies documenting successful projects
  • Comprehensive reports
  • Binational AI Regulation Observatory (BAIRO) prototype

Serving Multiple Stakeholder Communities

For Government

Evidence-based policy recommendations and regulatory analysis

For Private Sector

Identification of binational business opportunities and regulatory guidance

For Civil Society

Platform for advocacy and inclusion in AI governance discussions

For Academia

Research infrastructure and collaborative opportunities

For Funders

Identification of high-impact investment opportunities in binational AI projects

For Students

Paid, hands-on opportunities in applied AI policy research, regulatory analysis, and binational project development—providing students, particularly Latino students, with professional experience, mentorship, and pathways into public service, technology governance, and policy careers.