Responsible AI Adoption Guide for Federal Programs
Practical guidance for program teams evaluating AI tools, adapted from the AI Centre of Excellence's internal playbook.
This guide summarizes the core practices program teams should follow when evaluating and adopting AI tools, migrated from the AI Centre of Excellence's internal knowledge base.
Why this matters
Federal programs are increasingly exploring AI-enabled solutions. This guide distills lessons learned across pilot projects into a short set of recommendations.
Key recommendations
- Start with a clearly defined business problem, not a technology.
- Complete an Algorithmic Impact Assessment (AIA) early.
- Document data sources, model limitations, and human oversight points.
- Plan for bilingual, accessible user experiences from day one.
Next steps
See the Publishing Guide for how to contribute updates to this document, or the Style Guide for formatting conventions.