AABoard governance

Public-interest governance for AI education evidence and standards.

AABoard is designed as the public web identity for a nonprofit, public-interest standards and evidence body. Its governance model separates public evidence work, professional standards review, operational execution, advisory support, and global collaboration.

Mission and position

AABoard's mission is to establish and advance a public evidence system for AI literacy and to progressively develop globally applicable AI education evaluation frameworks, draft standards, and implementation reference systems. The organization is positioned as public-trust infrastructure for standards research, evidence evaluation, and transparent AI education governance.

Operating principles

The charter centers independence, public credibility, evidence priority, and explicit boundaries between registry inclusion, standards work, and commercial endorsement.

Governance architecture

AABoard uses a layered structure: governance, professional review, execution, strategic support, and global coordination. Each layer has a defined role and authority boundary.

Highest governance and oversight body

Board of Directors

Responsible for mission, direction, compliance, major policies, financial oversight, committee authorization, and final governance decisions.

Core professional standards body

Standards Council

Organizes standards research, reviews draft frameworks, manages public consultation and version control, and provides professional recommendations to the Board.

Non-governing advisory body

Advisory Board

Provides academic credibility, policy perspective, public-impact advice, international visibility, and external connections without statutory governance voting authority.

Execution and coordination layer

Executive Committee

Advances approved work plans, coordinates committees, manages case and pilot registration workflows, supports communications, and escalates major risks to the Board.

High-level think tank and resource connector

Strategic Committee

Supports long-term strategy, policy insight, ecosystem coordination, thought leadership, visibility, and non-binding resource connection.

Global support and connection layer

Volunteer, research, and regional network

Research fellows, contributors, ambassadors, technical volunteers, and regional liaisons support evidence discovery, documentation, local feedback, and public-knowledge building.

Core functions under governance

The governance model exists to protect the integrity of AABoard standards, registry, research, and public-affairs work.

01

Standards-system development

AABoard develops and reviews AI literacy frameworks, K-12 AI education references, higher education and workforce AI literacy frameworks, physical AI and robotics education references, and safety, ethics, governance, and evidence requirements.

02

Evidence and evaluation infrastructure

AABoard maintains case and pilot registry systems, uses the Evidence Maturity Index to describe evidence maturity, and supports comparative synthesis across contexts.

03

Academic and quality control

AABoard uses structured review, expert consultation, transparency requirements, documentation of limitations, and risk notices for exaggerated claims or insufficient evidence.

04

Policy and public affairs

AABoard may provide non-commercial policy-reference opinions, participate in international standards dialogue, and publish white papers, policy briefs, and public research reports.

Authority boundaries

The Board of Directors retains statutory governance authority. The Standards Council develops professional recommendations but does not replace the Board. Advisory, strategic, volunteer, research, and regional roles support the mission without creating automatic authority to represent AABoard, certify programs, or make final standards decisions.

Registry inclusion, recordkeeping, display, or evaluation by AABoard does not automatically constitute commercial endorsement. AABoard does not directly conduct enrollment, training sales, franchise recruitment, traffic monetization, or related commercial conversion activities in its nonprofit name.

Learn about AABoard methodologyExplore the evidence registry