GAICC AI Conference & Awards 2026 "Governing the Future – Building Responsible, Safe and Human-centric AI"
This is the implementation journey, from the trigger that made AI governance unavoidable to an organisation able to survive and thrive in the AI era. Start where you are: teams already certified to ISO/IEC 42001 can begin around Phase 4, while greenfield programmes start at Phase 1. Select a phase for the work it involves, the maturity stage it reaches, the artifact it produces and the credential that builds it.
One obligation, mapped end to end across the regimes that matter — ISO/IEC 42001, the NIST AI RMF and the EU AI Act — to the GAICC credential that builds the skill and the evidence an auditor expects. Select any row.
cl. 6.1 (risk & opportunities) + Annex A risk controls
MAP · MEASURE
Article 9 — risk-management system
Certified Professional in AI Governance + ISO/IEC 42001 Lead Implementer
Annex A — data for AI systems
MAP · MEASURE
Article 10 — data and data governance
Annex A — responsible use; cl. 5 accountability
GOVERN · MANAGE
Article 14 — human oversight
Annex A — lifecycle & information for interested parties
GOVERN ·
Articles 12 & 13 — record-keeping and transparency
Board-ready policy: principles, scope, risk appetite, roles and red lines.
Track every AI system, agent and workflow — owner, risk tier, autonomy and oversight.
The nine control areas, ready to mark applicable, justify and assign.
Assess a system’s impact on people and society, with mitigations and sign-off.
Who is Responsible, Accountable, Consulted and Informed across governance.
A repeatable structure for reporting AI governance to the board.