Layer 1 — Value Alignment

Introduces foundational, universally recognized values:

  • Human rights principles (UDHR)
  • Human-centered AI ethics (OECD, UNESCO)
  • Transparency, fairness, accountability
  • Cross-cultural understanding
  • Responsible innovation
  • Commitment to peaceful, non-militarized applications

Layer 2 — Governance & Compliance Alignment

Ensures AI practitioners and labs understand:

  • US Export Administration Regulations (EAR)
  • Dual-use AI risk categories
  • Deemed export obligations
  • EU AI Act principles
  • CFIUS risk scenarios（education, not screening）
  • Responsible datasets
  • Transparency in cross-border collaboration

Layer 3 — Technical & Operational Alignment

  • AI safety protocols
  • Red-team / blue-team methodologies
  • Dataset provenance
  • Model evaluation transparency
  • Lab security best practices
  • Incident reporting standards
  • Secure compute environment design