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Scientists develop AI model that can predict your time of death with high accuracy

Mystics aren’t the only ones to predict the future. An AI model designed for research can show the “time of your death” based on the conditions of your past.

The latest invention uses data concerning different aspects of life to speculate the possible end, just like other studies and medical experts have always emphasized the importance of a healthy lifestyle for longevity.

Cadaver on autopsy table, label tied to toe
Credit: Darrin Klimek | Getty Images

AI model can predict ‘time of death’

The AI model called life2vec developed for a research product from DTU, University of Copenhagen, ITU, and Northeastern University in the US is said to “predict what will happen in a person’s life and even estimate the time of death,” reports Science Daily.

The program similar to ChatGPT is trained to predict language and understand the pattern in the human data fed to it. Based on the information surrounding a person’s life, the AI can reportedly predict when your life ends.

The researchers reportedly compared AI’s prediction with existing findings within social sciences and found them consistent. This includes observations from previous studies such as longer lifespans among people with high incomes better jobs and higher risk of mortality in people with mental health conditions.

Commenting on the “transformer models”, Sune Lehmann, professor at DTU and first author of the study said: “We used the model to address the fundamental question: to what extent can we predict events in your future based on conditions and events in your past?.”

“Scientifically, what is exciting for us is not so much the prediction itself, but the aspects of data that enable the model to provide such precise answers,” she added.

It’s more accurate than previous models

To develop the AI model, researchers used labor market data and data from the National Patient Registry (LPR) and Statistics Denmark, including information about income, job type, social benefits, industry, etc.

They also considered hospital records and visits to doctors, diagnosis, patient type, and degree of urgency from 2008 to 2016.

The research could raise ethical questions concerning privacy because it uses respondent’s personal information. But, scientists think the model opens up both positive and negative perspectives to discuss.

The lead author argues that similar technologies are being used to predict human behavior and major life events – it’s up to us how we wish to use the new model.

This discussion needs to be part of the democratic conversation so that we consider where technology is taking us and whether this is a development we want,” says the lead author.