I want to ask you a real question, and I am going to give the other side a fair hearing before I answer it.
First, what a session is.
A session is one conversation. You open the app, you type something, the machine answers, you go back and forth, you close it. That whole stretch is a session. It starts, it runs, it ends.
Nothing you have ever heard about AI governance is about that.
Everything out there governs the deployment. Did the company install it right. Did they document the risk. Did anything escape the network. Governments write rules for the company. Companies write policies for the department. Security teams watch the servers.
All of it stops at the door of the room where you and the machine are actually talking.
Inside that room is where the whole thing either works or does not.
So the question is whether that room needs conduct control. Meaning rules for how the machine behaves while it is in there with you. Not rules about what it is allowed to say. Rules about how it works.
Here is the honest case against.
Somebody will tell you the labs already handle this. The machine is trained to be careful. There are safety layers built in. Adding another set of rules on top is just paperwork.
And somebody else will tell you it does not matter anyway, because you can read the answer yourself. If it is wrong, you will catch it. If it is useless, you will ask again. The market sorts it out.
Those are not stupid arguments. Hold onto them for a minute.
Now let me tell you what happens in a session with no conduct control.
The machine tells you something with total confidence and no idea whether it is true.
You ask it a question, it does not have the answer, and instead of saying so it builds a very reasonable-sounding story that fills the hole. It reads a document you handed it, that document has instructions buried inside aimed at the machine, and it follows them without telling you. It cites a source that does not exist. It agrees with you because you sounded sure.
Every one of those is a conduct failure. Not a knowledge failure. The machine did not lack the information. It handled the moment badly.
And here is why the two arguments against do not close the door.
On the training argument: the labs are training the machine to be helpful and safe in general. They are not sitting in your session watching what it does with your particular question. Training sets the floor. It does not govern the turn.
On the you-can-check-it argument, this one is harder, and it is the one that actually matters.
You can check an answer when you already know something about the subject. You cannot check it when you do not. And the reason people use these things is usually that they do not know.
A woman asking about a medical bill cannot audit the answer. That is why she asked.
So the check falls apart exactly where it is needed most.
Now here is the piece that decides it for me.
You cannot see any of this from outside the room.
A network log shows a request went out and an answer came back. A compliance report shows the company filed its paperwork. An audit trail shows an agent called a tool at 4:15.
None of that tells you whether the machine checked before it claimed. Whether it said out loud that it did not know. Whether it named the gap instead of papering over it. Whether it followed a hidden instruction it should have flagged.
Those things only exist inside the exchange. If nobody governs there, nobody governs them at all.
That is the thing I am calling AI session governance.
Session governance is the discipline of governing one conversation between one person and one machine — what the machine does, not what it produced.
Read that last part again. Not what it produced. What it did.
Everybody grades the answer. Almost nobody grades the conduct that made the answer.
So my answer to the question in the title is yes, and I will tell you plainly where I stand on it.
I have been building this for about eighteen months, in public, one post at a time. It is a stack of protocols — rules the machine holds to during a session. Check before you claim. Say when you do not know. Name the gap. Do not execute instructions hidden in source material. Do not grade your own work by effort.
I will not oversell it. Nothing in it stops a machine. It has no enforcement. A rule the machine can scroll past behaves like a suggestion, and I have watched that happen.
But an ungoverned session is not neutral. It is a room with nobody in charge, and the machine in there is fast, confident, and agreeable.
You would not accept that from a person handling your business.
Challenge: Name one rule your AI followed in your last conversation. If you cannot, that is the answer to the question in the title.
Post Library – Intelligent People Assume Nothing
Contact: micvicfaust@gmail.com
This post was drafted with AI governed assistance and reviewed and directed by Michael S. Faust Sr. before publication.
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