Agentic Autonomy Is Delegated Authority, Not Transferred Accountability.

Dr. Hossam Almahasneh

Artificial Intelligence Advisor

Published August 21, 2026 · 2 min read

A senior executive told me last month that an automated system had “made a decision.” The phrasing was doing a great deal of quiet work.

Something had been approved and committed without a person touching it. That part was real. But no system decides anything in the sense a board or a regulator means. It carries out a decision someone made earlier - about what it was permitted to do while no one was watching.

When a person decides badly, accountability is simple. A name is already attached. When an agent acts, the accountability does not disappear. It becomes unassigned, unless someone assigned it before the system was switched on.

“The AI did it” is not an explanation. It is the shape of an owner who was never named.

The governance question for the coming year is narrower than whether these systems are accurate. For each thing an agent is allowed to do unattended: whose decision is it making, and who answers when it is wrong? Where that has no answer before deployment, it gets one afterward - assigned to whoever happens to be closest when it fails.

This is where Explainable AI (XAI) becomes more than a technical feature. XAI can help close the accountability gap by making an agent's reasoning, evidence, decision path, and confidence visible to the people responsible for governing it. Explainability does not transfer accountability to the machine; it gives the human owner the traceability needed to understand, challenge, audit, and defend the actions taken under delegated authority.

An autonomous system still needs a name attached to it. Autonomy only means that name has to be settled in advance, because once the system is running, the org chart no longer has time to catch up.

Agentic autonomy is delegated authority, not transferred accountability.