Human in the Loop vs.
Human in Command
Moving from symbolic oversight to meaningful human authority.
Explore the topic →From Principles to Practice
Decision Governance
AI governance becomes concrete at the point where AI influences decisions.
Decision governance connects principles to practice by defining who can decide, how decisions are made, who is accountable, and how they can be explained, reviewed, and trusted.
Better
Decisions
A More
Human Tomorrow
Decisions
A More
Human Tomorrow
“Governance gives
shape to possibility.”
A Framework for Decision Governance
Four interconnected elements for responsible AI decisions.
Authority
Who can decide, and under what conditions? Define decision rights, roles, and boundaries.
Accountability
Who is responsible for outcomes? Establish clear ownership and oversight.
Alignment
Do decisions reflect human values and organizational goals? Ensure consistency with purpose and context.
Defensibility
Can we explain and justify the decision? Maintain a record of the rationale, evidence, and human involvement.
How Decision Governance Works
Start with the problem, then define the decisions AI is allowed to influence.
Define the Problem
What problem are you actually trying to solve? Begin with the real decision need, not the technology.
Review the Workflow
Confirm the workflow is necessary and efficient. Simplify it where possible before adding AI.
Map Decision Points
Identify where decisions occur, what information influences them, and where AI enters the workflow.
Decision Point
Determine the level of risk, who has authority, and when human review, approval, or escalation is required.
Accountability
Every decision should be explainable, defensible, and owned by someone accountable for the outcome.
Human Judgment Throughout
Questions That Matter
Practical questions for real-world decisions.
Who can decide?
What decisions can AI make autonomously, and which require human approval?
Who can override?
Who has the authority to challenge, modify, or stop an AI-recommended decision?
What must be documented?
What information, rationale, and human involvement need to be recorded?
Where does responsibility remain?
Who is accountable for outcomes, even when AI is involved?
Key Themes
Deeper exploration of central topics in decision governance.
Human in the Loop vs.
Boundaries for Agentic Systems
Defining where autonomous systems can operate — and where human judgment is required.
Explore the topic →Decision Rights and Escalation
Clarifying roles, thresholds, and escalation paths for complex or high-stakes decisions.
Explore the topic →Organizational Alignment
Embedding decision governance in culture, structure, and everyday practice.
Explore the topic →