Advisory Board

Independent oversight.

The Advisory Board provides strategic guidance, ensures standards integrity, and oversees the institutional direction of Certificate.School. Members serve three-year terms with staggered rotation.

EV
Dr. Elena Vasquez
Chair, Ethics Board
Former Director, AI Policy
Stanford HAI
MT
Dr. Michael Torres
Standards Committee
Former Technical Director
ISO TC 154
RK
Dr. Rashida Kone
Safety Review Panel
Research Fellow
Partnership on AI
JW
Prof. James Whitfield
Assessment Quality
Professor of Psychometrics
University of Cambridge
LZ
Dr. Lin Zhang
AI Evaluation
Former VP of Engineering
DeepMind Safety
SN
Dr. Sarah Nakamura
Governance Advisor
Senior Policy Fellow
Brookings Institution
AR
Prof. Ahmed Rahman
Methodology
Chair, AI Assessment
MIT CSAIL
CB
Claire Beaumont
Industry Liaison
Former CISO
Fortune 100 Technology
Ethical Principles

Five governing principles.

These principles govern all Certificate.School operations, from standards development to individual certification decisions. They are non-negotiable and publicly accountable.

Principle I

Independence of Assessment

All evaluations shall be conducted independently of the organizations, systems, or individuals being assessed. No commercial relationship may influence certification decisions.

Principle II

Transparency of Standards

All standards, criteria, and evaluation methodologies shall be publicly available for review. Changes to standards follow an open comment process before adoption.

Principle III

Rigor of Evaluation

Certification shall reflect genuine competence, not credential accumulation. Assessment methods must be psychometrically validated and regularly calibrated for fairness and consistency.

Principle IV

Accountability of Governance

Governance structures, advisory appointments, and institutional decisions shall be documented and available for public review. Annual transparency reports are mandatory.

Principle V

Service to the Public Interest

Certificate.School exists to serve the public interest in ensuring AI-era competence is verifiable and trustworthy. Commercial interests shall never supersede this mission.

Review Process

How standards evolve.

Standards are living documents. Our review process ensures they remain current, rigorous, and responsive to advances in AI capability and regulatory requirements.

1

Annual Review Initiation

Each standard undergoes mandatory annual review. The responsible department committee initiates the review process and identifies areas requiring update.

2

Public Comment Period

Proposed changes are published for a minimum 60-day public comment period. Comments from certified professionals, enterprises, and the public are systematically reviewed.

3

Committee Deliberation

The standards committee reviews all comments, consults with advisory board members, and develops the final revision. Dissenting views are documented.

4

Publication & Implementation

Updated standards are published with a clear effective date, transition guidance for existing certificate holders, and a change log documenting all modifications.

Transparency

Accountability through openness.

Certificate.School publishes annual transparency reports covering certification statistics, governance decisions, standards changes, conflict of interest disclosures, and financial information.

Annual
Transparency Report
60-day
Public Comment Periods
3-year
Board Term Rotation
100%
Decision Auditability