Marshall AI Governance Standard
A governance framework for maintaining human responsibility in the age of artificial intelligence.
The Marshall AI Governance Standard is a framework created to help organizations introduce responsible governance practices around artificial intelligence systems before operational risks appear.
Artificial intelligence capabilities are increasingly embedded in everyday software tools, allowing organizations to adopt AI-assisted workflows faster than leadership structures typically adapt.
Without deliberate governance, these systems can gradually influence operational decisions without clear visibility, accountability, or defined boundaries.
The Marshall Standard focuses on establishing those boundaries early so organizations can benefit from artificial intelligence while preserving human judgment and responsibility.
Core Principle
Artificial intelligence may assist human decision-making, but responsibility always remains human.
Framework Components
- AI Governance Readiness Assessment
- Operational governance structure for AI oversight
- Organizational participation and reporting model
- Documentation of governance practices
Related Resources
Marshall AI Governance Framework Overview →
Background
The Marshall AI Governance Standard was developed by Richard Marshall after decades designing and maintaining real-world technical systems where reliability, accountability, and operational clarity were essential.
The framework reflects the belief that increasing machine capability requires stronger clarity about human responsibility.