Danish and American scientists claim to have recently developed an AI model called “life2vec”. This model is similar to the AI chatbot ChatGPT and can predict the future based on a person’s existing life experiences. It boasts a high accuracy rate of 78% in predicting a person’s lifespan and earnings over their lifetime.
According to the Daily Mail, Danish and American scientists have recently developed an AI model called “life2vec”. These scientists trained machine learning algorithms based on a large amount of Danish data, providing various information about over 6 million real individuals, including income, occupation, place of residence, medical history, and pregnancy history.
These scientists successfully built the model, which can process simple language and generate predictions about whether a person is likely to die early or how much money they can earn over their lifetime. Similar to how ChatGPT users can request it to write songs, poems, or essays, scientists can ask life2vec simple questions, such as whether someone will die within 4 years.
The scientists used data from 2008 to 2016 to train this model, claiming that it accurately predicted the deaths of individuals who died before 2020 with an accuracy rate of over three-quarters. The research has been published in the journal “Nature Computational Science”.
Not open to the public or businesses
However, Sune Lehmann, the chief researcher of life2vec and a professor of networks and complex systems at the Technical University of Denmark, stated that in order to protect the personal information of the individuals involved in training the system, the system will not be made available for public or business use. Even if the model is eventually made available to the public, it would be illegal, according to Danish privacy laws, to make decisions involving individuals based on life2vec, such as formulating insurance plans or making hiring decisions.
It is worth noting that Sune Lehmann pointed out that the relevant data used in the model comes from Denmark, so these predictions may not be applicable to people living in other regions. Furthermore, most people may not want to know when they will pass away.
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