Human versus AI decision rights
‘A human makes the final decision’ sounds safe, but it is not a design. If nobody knows which human, which evidence, when approval occurs, or what AI can do before then, the control exists only on paper.
A usable decision model
Decision rights state who may recommend, act, approve, veto or stop, escalate an exception, and remain accountable for the outcome.
Tune authority through five dimensions
Replace a single human-control rule with boundaries that fit the characteristics of the decision.
Consequence
What is the impact of a wrong decision on people, customers, finances, or reputation?
Uncertainty
How incomplete, novel, or open to interpretation is the context?
Reversibility
Can the action be undone cheaply and in time?
Observability
Can failure be detected before it compounds?
Time pressure
Does human approval add safety, or delay the action until it loses value?
Decision-boundary case
Which expense may AI approve?
An expense-management agent will review employee claims. Small requests clearly inside policy are frequent; unusual merchants, split transactions, and high-value claims require more context and carry abuse risk.
How would you distribute authority?
AI may classify every claim and provide a rationale, then approve well-observed, reversible, low-impact expenses within a defined limit. High value, low confidence, policy exceptions, or suspicious patterns escalate to the finance owner. A visible human remains accountable for expense policy.
What a decision contract needs
Recommendation
Which options and rationale may AI provide?
Action
Within which threshold may it execute directly?
Escalation
At which signal must it stop, and to whom does it hand over?
Override and accountability
Who may change the decision, and who owns outcome and policy quality?
Misconception
“A nominal human approver resolves accountability.”
A person approving hundreds of recommendations without context or time becomes a rubber stamp. Real control requires information, authority, time, and capacity to intervene.
Test your understanding
Choose one AI decision: may AI recommend, may it act, when must it stop, and who remains accountable?
Include at least one threshold and one escalation signal.
Keep this
Human-AI governance is not about whether a human exists. It is about whether the right authority operates at the right risk with the right evidence.