Creepy accuracy: scientists have created an AI capable of predicting a person’s death - ForumDaily
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Creepy accuracy: scientists have created an AI capable of predicting a person’s death

While most people are hesitant to find out when they will die, a newly developed AI death calculator can now predict when a person will die with eerie accuracy. The publication told in more detail New York Post.

Photo: IStock

“We use transformational model technology to analyze human lives by representing each person as a sequence of events that occur in his life,” says Sune Lehmann, lead author of the study.

In the report, a professor of network and complex systems from the Technical University of Denmark and his co-authors present an algorithm known as life2vec, which uses individual details of a person’s life, including income, profession, place of residence, and health history. This allows life expectancy to be determined with 78 percent accuracy.

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“We take advantage of the fact that in some ways human lives are like language,” explains Lehmann. “Just as words follow each other in sentences, so events follow each other in human life.”

Slightly different from ChatGPT, life2vec can calculate the life prospects of a man or woman by carefully studying their past.

“This model can predict almost everything,” says Lehmann. His research team used specialized software to predict people's personality traits and international move decisions.

Lehmann's group studied a heterogeneous population of 6 million Danes, varying in gender and age, between 2008 and 2020. The analysts used life2vec to find out which subjects were most likely to live at least four years after January 1, 2016.

“The scale of our dataset allows us to construct sequence-level representations of individual life trajectories that detail how each person moves through time,” the report states. “We can see how individual lives unfold in the space of different types of events (information about a heart attack mixed with information about a salary increase or a move from a city to a rural area).”

The researchers provided the AI ​​with specific information about each study participant, using simple statements such as: “In September 2012, Francisco received 20 DKK as a security guard at Elsinore Castle,” or “During her third year at boarding high school, Hermione attended five electives.” classes."

They then assigned different digital markers to each piece of data, which were categorized quite specifically. For example, a forearm fracture is designated S52; job in a tobacco shop is coded as IND4726, income is represented by 100 different digital markers; and “postpartum hemorrhage” is O72.

Using the information obtained, life2vec almost perfectly predicted who would die by 2020 more than three-quarters of the time.

According to the study, factors that may contribute to earlier death include being male, having a psychiatric diagnosis or being in a highly skilled profession. But higher income or a leadership position are associated with longer life.

However, Lehmann emphasized in the interview that the study participants were not given prognoses regarding their death.

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“It would be very irresponsible,” said the study's lead author, noting that he and his team hope to share more details about their findings over time in a way that protects the privacy of those who participated in the study.

“But we can also learn from life2vec what factors can help you live longer,” Lehmann said. “We haven’t gone into that very deeply, but it’s another important application of the model.”

The bot is not currently available to the general public or corporations. And once it becomes widespread (if it ever does), AI likely won't be used to inform specific people in things like writing insurance policies or making hiring decisions.

“Forecasts are not used for anything,” says Lehmann. “The point of life2vec is to understand what can and cannot be predicted.”

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