Mission

GRAIL studies how AI systems are governed in practice and how institutions can align technical development with public values. The lab combines methodological work in policy analysis, technical evaluation, and institutional design to produce research that is rigorous, legible, and useful to decision-makers outside academia.

Focus

Our work spans four interlocking areas. Each one connects technical reality to institutional consequence — and each one supports cross-area projects rather than standing alone.

  • Substantive areas Domain-specific research on how AI is deployed in policy-relevant settings.
  • Themes Cross-cutting questions about accountability, oversight, and risk.
  • Methodological areas Tools and frameworks for studying AI systems empirically.
  • Relevant stakeholders The communities, institutions, and decision-makers our work is built for.

Institutional context

The lab is hosted within a larger university research environment and works alongside partner institutions across academia, policy, and industry. We commit to transparent methods, open citation of upstream work, and a publication cadence that prioritizes durable contributions over rapid output.

Get in touch

For collaboration inquiries, media requests, or general questions, please reach out through the contact page.