Building Practical Standards for a Trusted AI Future
Artificial Intelligence is transforming how people learn, work, innovate and operate organizations.
The GAAI AI Standards Framework™ provides a structured approach to developing AI competency, encouraging responsible AI use, assessing organizational readiness and supporting consistent AI audit practices.
One Framework. Multiple AI Journeys.
The GAAI framework is organized into five standards covering foundational AI knowledge, applied competency, professional competency, organizational readiness and AI auditing.
AI Foundations & Responsible Use
Build foundational AI knowledge, responsible-use practices, safety awareness and data literacy.
Applied AI Competency
Develop practical skills for using AI tools, generative AI, AI agents and real-world problem solving.
Professional AI Competency
Define professional capabilities for applying, implementing and responsibly managing AI in organizational environments.
AI Organization Standard
Framework for organizational AI strategy, governance, risk, responsible AI, workforce readiness and operational controls.
AI Audit Standard
Requirements for planning, assessing, documenting and reporting AI audits against applicable GAAI standards.
From Foundations to Audit
Each standard addresses a distinct need. Individuals and organizations enter the framework where it is relevant to them — progression through every standard is not required.
Standards Designed to Evolve With AI
GAAI standards are intended to evolve as technologies, risks, practices and organizational needs change.
Put the Standards to Work
Standards define the expectation. Certification, assessment and audit are how capability is demonstrated.