Responsible AI adoption
Give organizations practical standards, skills and assurance pathways to adopt artificial intelligence ethically, safely and effectively.
Capacity building and applied governance
Each mission moves from executive dialogue into coordinated work, standards, implementation or verification as the opportunity matures.
Move responsible AI from principles into organizational capability, documented practice and evidence.
Adoption outpaces governance
Organizations are deploying AI faster than governance, workforce capability, monitoring practices and assurance methods are maturing.
Standards, learning and verification
DGC connects AI governance standards with education, expert review, implementation and independent assessment.
Expand applied participation
Organizations can join upcoming learning cohorts, expert panels, standards activities and applied governance initiatives.
Responsible adoption requires more than policy statements
Organizations need practical ways to govern AI across design, procurement, deployment, monitoring and third-party use.
Small and medium enterprises, nonprofits and public-service organizations often need accessible education and implementation support, while more mature organizations need credible evidence and assurance.
- Limited AI governance literacy and role clarity
- Inconsistent risk assessment and documentation
- Third-party AI tools entering organizations without sufficient oversight
- Difficulty translating ethical principles into auditable practice
Build an applied AI governance pathway
The mission combines standards, professional learning, expert participation and verification.
Identify adoption barriers
Bring technology users, developers, public institutions, SMEs, nonprofits, legal experts and researchers together.
Build practical learning
Work with education partners to deliver foundational and advanced AI governance learning for different levels of organizational maturity.
Maintain AI governance standards
Use CAN/DGSI 101 and related standards to define minimum expectations for ethical design, procurement, use and monitoring.
Support evidence and assurance
Develop expert review, panel and verification approaches that help organizations demonstrate responsible practice.
A cross-sector mission
AI governance is an organization-wide responsibility and requires technical, operational, legal and public-interest perspectives.
Public sector
Departments, agencies, municipalities and service organizations deploying or procuring AI-enabled systems.
SMEs and nonprofits
Organizations that need practical, proportionate governance and accessible learning pathways.
Technology providers
AI developers, vendors, integrators and platform providers responsible for system design and deployment.
Education and research
Training organizations, academic experts and research networks supporting responsible adoption.
Legal, privacy and risk
Professionals responsible for accountability, rights, procurement, privacy, security and enterprise risk.
Health and regulated sectors
Organizations applying AI in environments where safety, evidence, equity and ongoing monitoring are especially important.
A connected standards and learning pathway is taking shape
DGC has combined AI governance standards with multiple learning and applied-participation channels.
CAN/DGSI 101
The standard provides minimum requirements for the ethical design and use of AI by small and medium organizations and is referenced in federal AI risk-management resources.
AI education partnerships
DGC expanded AI learning through a self-paced course with CAIAI and governance and deployment workshops with Amii.
SME education and expert panel model
Current work is designed to bring SMEs through education and create structured expert review of governance practices, data, risk and intended deployment.
Join the next learning, expert or implementation activity
Organizations can register interest in upcoming AI governance education, contribute subject-matter expertise, participate in standards work or explore assessment and verification against applicable DGC standards.
Organizations adopting, building, procuring or overseeing AI
Priority participants include SMEs, nonprofits, public institutions, technology providers, health organizations, educators, legal and risk professionals, and AI governance experts.