Friends, Romans, and Algorithm-ians — AI can actually accurately predict when you are going to kick the bucket. Imagine a machine gazing into your future and whispering your expiration date. A new study from Denmark has developed an AI tool that attempts to do just that, predicting individual lifespans with unsettling accuracy. “We do this by drawing on a comprehensive registry dataset, which is available for Denmark across several years, and that includes information about life-events related to health, education, occupation, income, address and working hours, recorded with day-to-day resolution,” said researchers from Denmark.“We use the technology behind ChatGPT (something called transformer models) to analyse human lives by representing each person as the sequence of events that happens in their life,” Sune Lehmann, lead author of the study, told The New York Post.
How does the AI tool calculate ‘death’?
As per the study — conducted on people in Denmark, first life-sequences are constructed based on labour and health records from Danish national registers. The dataset includes records about income, such as salary, scholarship, job type, industry, social benefits and so on. Furthermore, records about how many times a person has been doctors or hospitals, what’s the diagnostic history and other medical details.
The study used all the public information of the subjects and then assigns digital tokens. The AI model was able to accurately predict who had died by 2020 by 78%. “We can observe how individual lives evolve in a space of diverse event types (information about a heart attack is mixed with salary increases or information about moving from an urban to a rural area).”
The study’s findings also hold promise for the future of preventative healthcare. According to the study, the model opens a range of possibilities within the social and health sciences. “By means of a rich dataset, we can capture complex patterns and trends in individual lives and represent their stories in a compact vector representation,” the study noted.
It’s important to remember that Life2Vec and similar models are statistical tools, not fortune-telling oracles. Numerous unpredictable factors can influence an individual’s lifespan, making it impossible to pinpoint exact death dates.
How does the AI tool calculate ‘death’?
As per the study — conducted on people in Denmark, first life-sequences are constructed based on labour and health records from Danish national registers. The dataset includes records about income, such as salary, scholarship, job type, industry, social benefits and so on. Furthermore, records about how many times a person has been doctors or hospitals, what’s the diagnostic history and other medical details.
The study used all the public information of the subjects and then assigns digital tokens. The AI model was able to accurately predict who had died by 2020 by 78%. “We can observe how individual lives evolve in a space of diverse event types (information about a heart attack is mixed with salary increases or information about moving from an urban to a rural area).”
The study’s findings also hold promise for the future of preventative healthcare. According to the study, the model opens a range of possibilities within the social and health sciences. “By means of a rich dataset, we can capture complex patterns and trends in individual lives and represent their stories in a compact vector representation,” the study noted.
It’s important to remember that Life2Vec and similar models are statistical tools, not fortune-telling oracles. Numerous unpredictable factors can influence an individual’s lifespan, making it impossible to pinpoint exact death dates.
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