Standard — AIWS-1
AIWS-1 — AI Governance Workforce Standard
Defines the competency requirements for individuals responsible for AI governance within organizations
Executive summary
AIWS-1 establishes the foundational competency framework for the AI governance workforce. It defines the knowledge, skills, and accountability structures required of individuals who hold formal responsibility for AI governance within their organizations. The standard supports organizations in building a qualified governance workforce capable of managing AI risk, ensuring regulatory alignment, and maintaining institutional accountability for AI-driven decisions.
Scope
AIWS-1 applies to workforce roles with direct or delegated AI governance responsibilities, including competency levels across strategic, operational, and technical governance functions. It addresses governance responsibilities, qualification standards, and role-based accountability frameworks.
Key provisions
- Establishes defined competency levels for AI governance roles across organizational hierarchies.
- Specifies accountability structures for individuals overseeing AI systems and their outcomes.
- Outlines minimum qualification and continuing education requirements for AI governance officers.
- Defines escalation and reporting obligations for governance-related findings and incidents.
- Provides a role-based framework for distributing AI governance responsibilities across functions.
Who it applies to
How TISAIG uses AIWS-1
TISAIG applies AIWS-1 as the competency baseline for its workforce governance assessments and training services. When conducting readiness assessments or delivering executive workshops, TISAIG evaluates client organizations against AIWS-1 criteria to identify gaps in governance workforce capability and recommend targeted development pathways.
Note: This is an executive summary. Full standard documentation is available to licensed organizations.