AI Governance Working Group Topics
The AI Governance Working Group is developing a structured body of guidance and practical deliverables focused on AI Governance, data management alignment, operating models, risk frameworks, and implementation practices. The following topic tracker outlines the current working areas, review periods, and planned deliverables for the group.
Topic Tracker
Topic 1a — AI Governance Definition and Framework
Development of a common AI Governance definition and foundational framework aligned to enterprise data management practices.
| Review Period |
4 Feb – 11 Mar |
| Review Sessions |
4 Feb, 25 Feb |
| Status |
Draft Ready |
Topic 1b — Taxonomy Mapping (DCAM / CDMC)
Mapping AI Governance concepts and terminology to existing DCAM and CDMC frameworks and capabilities.
| Review Period |
11 Mar – 25 Mar |
| Review Sessions |
11 Mar |
| Status |
Planned |
Topic 2 — Risk, Regulation, Ethics and AI Quality
Exploration of AI risks, regulatory obligations, standards, fairness, ethics, safety, and AI quality management practices.
| Review Period |
25 Mar – 29 Apr |
| Review Sessions |
25 Mar, 15 Apr |
| Status |
Planned |
Topic 3 — Operating Model, Stakeholder Matrix, RACI and KPIs
Definition of governance operating models, accountability structures, stakeholder responsibilities, and performance measures.
| Review Period |
29 Apr – 3 Jun |
| Review Sessions |
29 Apr, 13 May |
| Status |
Planned |
Topic 4 — Maturity Model, Playbook and Compliance Mapping
Development of implementation guidance, maturity assessment approaches, and compliance mapping frameworks.
| Review Period |
3 Jun – 8 Jul |
| Review Sessions |
3 Jun, 24 Jun |
| Status |
Planned |
Topic 5 — Industry Guides, Case Studies and Certification
Creation of industry guidance materials, practical case studies, and certification-oriented supporting content.
| Review Period |
24 Jun onwards |
| Review Sessions |
24 Jun+ |
| Status |
Planned |