When People Become Data

Friday, October 9, 2026

When People Become Data

A person sits in front of a screen. On the other side of the desk, another person waits. A decision must be made, but first the information has to be entered. Age, income, employment, health. Some fields are filled in; others remain blank. Between the questions, the person waiting tries to explain something that does not quite fit.

What happens to that story when the form is saved?

We have always tried to make sense of the world. We count, sort, and compare. Numbers help us see things that would otherwise remain hidden: differences in living conditions, patterns of illness, people being left behind. An individual’s experience can be dismissed as an exception. When many experiences are brought together, they can become difficult to ignore. Being counted can therefore also mean being acknowledged.

Yet something happens when a life is translated into information. Whatever can be recorded takes on a particular form. An income becomes an amount. A diagnosis becomes a code. Absence becomes a percentage. The information may be accurate while still offering an incomplete picture.

The absence rate does not necessarily tell us about the child who kept a parent awake all night. Income says little about the responsibility of caring for a sick sister. A diagnosis does not readily capture the fear that comes with it. We can know a great deal about a person and still understand very little about the life they lead.

In an editorial in Science, 08 October 2026, Julia Lane and Natasha Noy ask whether ever-growing quantities of data are fit for the purposes they serve. The question seems technical, but it also invites ethical reflection. Information acquires meaning through its use. What is useful for describing a population may be inadequate when deciding what one particular person needs.

We might imagine a map. It shows roads, distances, and boundaries. A good map makes it easier to find our way. But even the most accurate map cannot tell us how it feels to walk home alone, or why someone hesitates outside a particular door. The map’s value depends on our remembering what it shows and what it leaves out.

Perhaps this is precisely what we easily forget when information is presented with great precision. A number with two decimal places looks convincing. A ranking creates an impression of order. A calculated probability can make the future seem more certain than it is. The form can give us a confidence that the substance does not fully warrant.

It then becomes essential to ask: How was the information collected? Who is missing? What assumptions underlie it? And how far can the conclusion reasonably be extended?

Those affected by the decisions should be able to ask such questions. A person being assessed needs an opportunity to understand the assessment and correct it. Otherwise, they may find themselves excluded from their own description, watching a version of themselves they do not recognise.

We need data to allocate resources, identify problems, and examine whether measures are working. We also need people who take responsibility for how that information is used. A system can organise the information. Someone must still listen, exercise judgement, and be willing to change their mind.

On the screen, the fields have all been filled in. The person on the other side of the desk has not yet told the whole story.

Perhaps the most important part of the conversation begins right there.