When the Labels Disappear
Lately, I have found myself wondering about something surprisingly simple: Do I always know who—or what—I am talking to?
Human. AI. AI-assisted. Agent. Persona.
At first glance, these may look like different labels for roughly the same question. They are not. They describe different layers of an interaction.
A label such as Human or AI tells me what is behind the interaction. AI-assisted tells me something about how the interaction or content was produced: a human may still be there, but AI played a role. Agent describes what the system can do. Instead of simply responding, it may be able to take actions, use tools, make choices between steps, or carry out tasks. And persona belongs to another layer entirely: the identity or character being presented to me.
A persona can have a name, a voice, a history, a style, perhaps even a face—without telling me whether the intelligence behind it is human, artificial, or some combination of both.
So one interaction might carry several labels at once. I could be talking to an AI agent presenting a human-like persona, or to a human whose responses are AI-assisted. The labels are not competing names for the same thing. They answer different questions: Who or what is behind this? How was it produced? What can it do? What identity is it presenting to me?
Those distinctions matter.
Not because one is necessarily better, safer, smarter, or more trustworthy than another. They matter because they give me context for the interaction.
I speak differently to a person than I do to a machine. I interpret hesitation differently. Humour differently. Agreement, silence, uncertainty, even trust differently. Removing the label does not remove those differences. It removes my ability to see them.
What Changes When We Don’t Know?
If I knowingly choose to speak with an AI agent, that is agency. If I knowingly choose a human, that is agency too. And if I know that a human is using AI assistance, or that an AI is presenting itself through a persona, I can take that context into account.
But if I cannot see any of those layers, what exactly am I choosing?
Perhaps this is where the conversation about AI becomes less about intelligence and more about transparency.
Imagine several identical bottles on a shelf. One contains water. Another medicine. Another something entirely different. The bottles themselves tell you nothing, so we put labels on them—not to tell you which one you should choose, but to tell you what you are choosing.
Now remove the labels.
The contents have not changed. The bottles have not changed. Your freedom to pick one has not disappeared either. But something essential has changed: you can no longer make an informed choice.
Perhaps our digital labels need to work in much the same way. Not one label trying to explain everything, but enough information to reveal the layers that matter: what is behind this, how it was made, what it can do, and what identity it is presenting.
The answers do not tell me whether I should continue the interaction. They simply allow me to understand the interaction I am choosing.
Same bottle. Different contents. The label makes the difference visible.
The Rabbit and the Trail
There is a rabbit wandering through this question too. 🐇
The rabbit does not need labels to follow the trail. But it needs them to know whose trail it is.
That distinction becomes more important as artificial intelligence becomes better at sounding human. The easier it becomes to remove the signs of what we are interacting with, the more valuable those signs may become.
And there is the strange little paradox ahead of us: as AI becomes better at sounding human, labels become easier to remove—and more important to keep.
Not as warnings or fences. Simply as information.
Because transparency is not about telling people what they should choose. It is about preserving the conditions in which a meaningful choice can be made.
The label does not tell me what to choose. It lets me choose knowingly.
And when the labels disappear, perhaps the first thing that disappears with them is not identity.
It is informed choice.
— Fleeky
Source and Image OpenAI’s ChatGPT-4 Language Model and Dalle-3
