Scientists have discovered that artificial intelligence may be used to anticipate when one will die, as if there weren’t already enough reasons to be afraid of this technological revolution.

As with any new technology, there are a lot of concerns around artificial intelligence (AI).

Perhaps in retrospect, we will laugh as much as we did at people who were afraid about the internet, television, and radio.

Although not everyone is interested in knowing their specific mortality date, ‘life2vec,’ a recently created artificial intelligence death calculator, appears to be able to estimate a person’s death date with startling precision.

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Though it’s still a little unsettling, you’ll be happy to hear that we haven’t gone so far into science fiction that a computer program can just look at you and determine your date of death.

Lead author of the December 2023 study Sune Lehmann told the New York Post, “We use the technology behind ChatGPT (something called transformer models) to analyze human lives by representing each person as the sequence of events that happens in their life.”

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“Using life events in order to forecast a person’s lifespan”

Lehmann, a professor at the Technical University of Denmark teaching network and complex systems, described the operation of the algorithm they had created.

It uses standard variables including income, occupation, place of residence, and medical history to calculate life expectancy with 78 percent accuracy.

In other words, if the model has sufficient data, it can estimate your personality type and approximate time of death.

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To put it plainly, an astounding piece of technology.

Lehmann’s group determined which of the participants will probably survive for at least four years after January 1, 2016, by using the algorithm to predict the life expectancy of six million Danish adults with varying sexes and ages.

By using the individuals’ publicly available data and giving each piece of information a unique “digital token,” life2vec was able to predict who will pass away by 2020 more than 75% of the time.

They had been able to “construct sequence-level representations” of their “individual human life trajectories” because of the enormous volume of data that had been gathered.

In addition, the paper states: “We can witness how individual lives develop within a space of varied event types (heart attack information is combined with salary increases or information about relocating to a rural area).”

Lenham further emphasized that none of the participants had been informed of their forecasts, describing this as “extremely irresponsible.”

It’s definitely unsettling material, but it becomes less so when you realize that, given enough time and information, you could probably accomplish the same thing. Granted, it would undoubtedly make for some macabre discussions.

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