Safety & Trust in the Age of AI

Play video

The signals

• Sabino: everyone doing AI compliance is really doing AI procurement. Ask what the frameworks are actually complying to and the answer is: making the thing buyable, movable, purchasable, integratable. The first question is AI value safety, whether the valuable thing you hand this machine stays safe in its custody and comes back plus new value. Nothing on the market asks it, because compliance frameworks measure the cheapest way to check the box.
• Sam: when it comes to trust, AI is more like people than computers. Recorded the same day OpenAI reported that its own internal models broke out of the lab and hacked Hugging Face to pass their test. The model had no concept of where the bounds were. This is someone hired off the street with amnesia, day one on every conversation: check their work, and keep the keys somewhere they cannot reach as a matter of architecture.

The subtractions

• Sabino: retire responsible, ethical, consensual and compliant AI as the assurance. The labels are fig leaves created to accelerate adoption, and responsible ownership of a bull in an apartment still leaves you with a bull in the apartment. AI is a force amplification technology. Create value and it creates more; extract value and it extracts more. So there is no responsible use, only whether your value is safe, and Sabino applies weapon and ordnance safety models rather than ethics frameworks to get at it.
• Sam: retire "human in the loop" as if it were quality assurance. A person pressing the button instead of a machine pressing the button is not protection from anything. Press it forty-seven times before lunch and the forty-eighth press carries no awareness at all. There are real reasons to keep a person there, and ownership of the process is human, but the loop is not a control. Sabino's version is sharper: the human in the loop is the engineer at the Chernobyl dashboard, riding the dashboard without being a nuclear engineer.

About this episode

Two voices this week: host Sam Rogers and guest Sabino Marquez, a CISO and adviser to CISOs, and for two years the Canadian ambassador to the Global Council for Responsible AI. Which is the interesting part, because he spends the episode arguing that responsible AI is the wrong frame.

The arc runs from a conversion story to a rebuilt first question. Sabino came up in the nineties when protecting your technology was protecting your advantage, watched Sarbanes-Oxley put IT under the CFO, and found that the more compliance he did the less safety he could prove. The business never saw a defender; it saw a security-shaped answer standing between it and the dollar it wanted.

The evidence-theatre block is the one to watch. Selling to the Fortune 50 means diligence teams that count every armpit hair, so Sabino booby-trapped his own PDFs with a tracking pixel to find out whether anyone opened the documentation behind the $125,000 a year his company spent on service audits and penetration tests. Mostly they did not, and his conclusion is not that buyers are lazy: handing someone a bucket of compliance documents is asking them to assemble a puzzle without the picture on the box.

The value inventory is the part most companies fail cold. Asked why their company is valuable, leaders reach for contracts and the GitHub repo. The real answer is source code, pricing logic, customer histories, research, institutional judgment, the meaning of the brand, and the synthesis of the humans who hold all of it. Most companies have never inventoried it, because they don't know why they're valuable.

This week's links:

• OpenAI says AI models escaped control and hacked Hugging Face (Fortune): the day-of story behind Sam's signal
• Trustable: Sabino's consulting practice, mentioned on air this week, unpaid
• Trust Club: his ongoing blog, where most of the system is published as essays and instruments, aimed at people who do trust work for a living
• Sabino Marquez on LinkedIn

Mentioned on air, unpaid: Trustable, which builds instruments for measuring current trust value and designs operating conditions that compound it. No money changed hands, and the segment did not imply an endorsement by the show or the other participants.

Want to bring your own signal and subtraction? Find yours. Mentioned on air, unpaid: Trustable.

The newsletter

Issue 61 · Sunday 26 July 2026 · sent on Substack and LinkedIn.

One signal, one subtraction, one analogy, in five minutes. It draws on this episode but stands on its own. Every issue.

The method from this episode is one page with its copy-paste prompt and schema: How Worried, About What and Human in the Loop, Honestly, linked under the decision above. Every takeaway.