They create an AI capable of predicting when you are going to die

In a surprising scientific advance, a group of researchers from the Technical University of Denmark has developed a Artificial Intelligence system called ‘life2vec’, capable of predicting with 78% accuracy the probability of a person’s death in the next four years. This innovative technology is based on language models similar to those used in conversational systems, such as ChatGPT, but goes further by analyzing key information about a person’s life, such as their educational level, employment, medical data and aspects of their life. personality.

The ability to predict death has been debated among scientists for years. Although sociodemographic factors that influence the life course are known, existing predictive models have not achieved the desired accuracy. The team led by Sune Lehmann set out to overcome this challenge by creating a more precise algorithm capable of constructing individual life trajectories.

The system is based on transformer language models that identify patterns in language and relationships between life events.. These patterns are encoded in mathematical spaces called embedding spaces, allowing for accurate predictions about life events. Events related to health, work, education and personality traits are used to predict people’s future.

How does AI work?

To train the model, it was fed data from around six million people collected between 2008 and 2020.. The sample focused on individuals between 35 and 65 years old between 2008 and 2015, and the predictions were verified with real data from 2016 to 2020. The result was a staggering 78% accuracy in predicting mortality..

However, it is important to keep in mind that the interpretation of this percentage requires certain clarifications. Lehmann explains that, given the relatively young population used in the study, the death rate would be low by selecting people at random. Therefore, the sample was balanced to ensure that half of the subjects survived and the other half died, thus obtaining 78% accuracy.

In addition to predicting mortality, the system also attempted to predict personality traits with positive results.. However, the research team highlights the ethical implications associated with the use of this technology. They warn that, at least for the moment, it should not be used in sectors such as insurance, as it could compromise the principle of shared risk.

Despite its potential in medicine, The team emphasizes the importance of responsible use and privacy protection before considering the practical application of this technology. Although the ability to predict death raises ethical and moral questions, this advance represents a surprising new use of Artificial Intelligence that has not been explored until now.

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