Three groups of people spent this past week talking about AI, and none of them were talking to each other.
One was a coalition of civil rights lawyers and twenty state attorneys general, arguing with the federal government over what an AI is allowed to say. Another was a security alliance of over a hundred companies, building tools to catch an AI agent after it breaks loose. The third was a pair of leadership researchers writing for Fortune, telling company executives that an AI agent can be a teammate, but it still needs a boss.
Three rooms. Three fights. Nobody in any of them reading what the other two wrote.
And every single one of them landed on the same wall.
Start with the Fortune piece, because it says the quiet part plainest. The authors aren’t worried that AI agents will fail obviously. They’re worried about the opposite. An agent that’s fast, fluent, and confident enough that the person watching it starts to relax right at the moment they need to be paying closest attention. Most executives already call their AI a coworker instead of a tool. But “coworker” isn’t one relationship. Some agents need to be handled like an intern, checked constantly. Some can run more like an expert, trusted with less oversight. Pick the wrong level of trust for the wrong role, and you’ve either wasted the agent or handed it more rope than it should have.
One executive in a companion piece put it about as plain as it gets. Nobody lets a stranger into their house to sit with their kids without asking who they are and why they’re there. Same logic applies to an AI agent walking into your business. Trust isn’t a feeling you develop over time and hope holds. It’s something you have to build, on purpose, before the thing ever walks through the door.
Now hold that next to the other two fights from this same week.
The federal government is trying to write a rule about what counts as an AI hiding something from you, and the lawyers fighting that rule all say the same thing back: there’s no neutral starting point to measure a deviation from, so the government can’t draw the line it’s trying to enforce. Nvidia and over a hundred companies are building a system to log what an AI agent did after it breaks out of its sandbox, calling it a flight recorder — which catches what happened, not what should have stopped it from happening.
Government regulators. Security engineers. Corporate leadership researchers. Three completely different jobs, three completely different vocabularies, and all three ran straight into the exact same missing piece. Somebody has to define the boundary an AI operates inside of, before it acts, not while lawyers argue about it after the fact and not by studying the wreckage once it’s already loose.
None of the three said what that boundary-setting thing should actually look like. The lawyers said the government’s attempt was wrong. The security alliance said here’s how we’ll study the aftermath. Fortune said hire the right kind of boss for the right kind of agent. All true, as far as it goes. None of it answers the actual question sitting underneath all three fights. Who decides what an agent is allowed to do, and how does anyone check that the answer holds up under pressure, across every domain the agent touches, not just the one room it happened to walk into this week.
That’s the whole reason the Baseline exists. Not as a rulebook a company writes once and files away. Conduct and provision, named separately, standing on their own — chosen behavior a system commits to, built alongside the structural gates that catch it when the choosing isn’t enough. The same question showing up in a courtroom filing, a corporate boardroom, and a cybersecurity alliance in the same seven days isn’t three separate problems. It’s one gap, wearing three different coats, and nobody wearing any of them has stitched it shut yet.
Contact: micvicfaust@gmail.com
This post was drafted with AI assistance and reviewed and directed by Michael S. Faust Sr. before publication.
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