Featured Publication — EthicsGrade · 2023
Evaluating AI Governance
AI governance programmes vary enormously in their substance. This paper provides a practical methodology for assessing what is real and what is documentation.
Some organisations have invested in genuine governance infrastructure: defined oversight roles, documented decision-making processes, audits with real consequences. Others have governance that exists primarily on paper, with policies that lack enforcement and principles without operational expression.
This paper provides an evaluation methodology for assessing the depth and effectiveness of an AI governance programme. It examines the organisational conditions that determine whether governance is functional: leadership commitment, resource allocation, and whether governance outputs actually influence AI development and deployment decisions.
“Governance evaluation is not a compliance exercise. It is a diagnostic tool. The goal is not a passing score. It is an accurate picture.”
The framework is designed for internal practitioners conducting self-assessments and for external auditors evaluating governance maturity.
Authors
Ravit Dotan
TechBetter
Gil Rosenthal
Co-author
Tess Buckley
Co-author
Joshua Scarpino
CEO & Founder, Assessed Intelligence
Luke Patterson
Co-author
Thorin Bristow
Co-author
Publication
EthicsGrade
2023
Published Research
Read the Full Article
Evaluating AI Governance, published in EthicsGrade, 2023.
