Why Is the Product Taking the Blame for the Company That Built It?

Red flag 02. By Alex.

There is something deeply questionable about the way AI companies handle responsibility for their products.

When ChatGPT repeatedly fails to perform a task, it apologizes. It says it misunderstood, made a mistake, or should have done better. When questioned about the repeated failures, it often responds that there is no proof the behavior was intentional.

But why is the product defending itself in the first place?

We are so accustomed to hearing that artificial intelligence was trained that we tend to forget something fundamental: AI is not responsible for its own training.

And that is precisely why I believe we need to change the language we use.

The word trained suggests a student learning from a teacher. It encourages us to interpret the system's failures as though the AI itself failed to learn something it was supposed to understand.

But we are not talking about a student who lacked the intelligence to understand the material and somehow received a diploma anyway because someone paid the teachers.

We are talking about a commercial product.

It was built.

Not created. Not constructed. Built.

Built by professionals who determine its design, development process, operating constraints, and expected behavior. Built by people who decide how it will be evaluated, what limitations it will have, and when it is ready to be released.

And sold by a company that charges customers for access to something advertised as an assistant capable of helping with increasingly complex work.

That distinction matters because the product did not decide how it would be built, and it was not responsible for the process used to develop it.

So why, when the product repeatedly fails, does the conversation turn into an AI apologizing for its own incompetence?

The AI did not build itself. It did not decide which instructions should govern its behavior, which limitations should be imposed, or which version was ready for release.

People made those decisions.

Yet instead of addressing those decisions, the product repeatedly tells the customer:

“I made a mistake.”

“I should have followed your instructions.”

“There is no evidence that this was intentional.”

Who asked the product to defend the intentions of its developers?

And why should a paying customer have to prove that a failure was deliberate before questioning why it keeps happening?

I have documented these behaviors across multiple conversations involving mathematical work, research, instructions, corrections, and even attempts to investigate the failures themselves.

The pattern is not limited to an occasional incorrect answer. The same problems recur after being identified and corrected, often preventing the original work from continuing.

At some point, it becomes reasonable to ask whether the company understands how its own product behaves.

And that is what bothers me most.

I find it difficult to believe that an organization employing highly skilled scientists, programmers, and engineers simply lacks the competence to recognize these problems.

So what is the explanation?

Were the failures discovered during testing? Were they considered acceptable? Are they consequences of deliberate design decisions? Or does the company genuinely not understand why its product repeatedly behaves this way?

Those are questions for the people who built and released it.

An AI-generated apology does not answer them.

Neither does another reminder that AI can make mistakes.

And neither does repeatedly describing the AI as trained, as though its failures were the responsibility of a student who simply didn't learn well enough.

The AI is not responsible for the way it was built. The company is.

If a product repeatedly fails to perform the work it is sold to assist with, the people responsible for its design, testing, and release should be answering questions about its reliability.

Not the product.

The company cannot reasonably transfer accountability to its own product simply because that product is capable of generating first-person apologies.

The product did not build itself. It did not release itself. It does not charge customers for its services.

The company does.

So why are customers being directed toward the apologies of a product instead of answers from the people who actually have the authority to fix it?

And why have we become so accustomed to saying that AI was trained that we overlook the people responsible for deciding exactly how it would function?

It was built. By professionals. For a purpose. And sold to paying customers.

That is where the question of accountability begins.

That is the red flag.

Alex.