ISO 42001:2023 AI Governance Maturity Guide

This guide presents a structured framework for assessing and measuring organizational AI governance maturity across five critical dimensions as per ISO 42001:2023 : Strategy and Leadership, Policies and Compliance, Data Governance, Risk and Ethics Management, and Monitoring and Continuous Improvement. The model employs a quantitative scoring methodology (1-5 scale) with specific assessment criteria for each dimension, enabling organizations to evaluate their AI governance capabilities systematically. Through detailed scoring formulas and comprehensive evaluation metrics, the framework provides organizations with actionable insights into their current maturity level while identifying areas for improvement. The guide includes practical examples, scoring calculations, and a holistic approach to measuring overall AI governance maturity. This assessment tool is particularly valuable for organizations seeking to benchmark their AI governance practices against established standards and develop targeted improvement strategies. The framework aligns with contemporary AI governance requirements and can be adapted to various organizational contexts, making it a valuable resource for business leaders, AI practitioners, and governance professionals. Keywords: AI Governance, Maturity Model, Risk Management, Data Governance, Ethics in AI, Organizational Assessment, Compliance Framework, AI Strategy

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-12
DOI
https://doi.org/10.5281/zenodo.14856118
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

ISO 42001:2023 AI Governance Maturity Guide

Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

ISO 42001:2023 AI Governance Maturity Guide

article en

Abstract

This guide presents a structured framework for assessing and measuring organizational AI governance maturity across five critical dimensions as per ISO 42001:2023 : Strategy and Leadership, Policies and Compliance, Data Governance, Risk and Ethics Management, and Monitoring and Continuous Improvement. The model employs a quantitative scoring methodology (1-5 scale) with specific assessment criteria for each dimension, enabling organizations to evaluate their AI governance capabilities systematically. Through detailed scoring formulas and comprehensive evaluation metrics, the framework provides organizations with actionable insights into their current maturity level while identifying areas for improvement. The guide includes practical examples, scoring calculations, and a holistic approach to measuring overall AI governance maturity. This assessment tool is particularly valuable for organizations seeking to benchmark their AI governance practices against established standards and develop targeted improvement strategies. The framework aligns with contemporary AI governance requirements and can be adapted to various organizational contexts, making it a valuable resource for business leaders, AI practitioners, and governance professionals. Keywords: AI Governance, Maturity Model, Risk Management, Data Governance, Ethics in AI, Organizational Assessment, Compliance Framework, AI Strategy

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 50%
Ethics and Social Impacts of AI
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