Researchers at the Technical University of Denmark (DTU) have unveiled an AI-powered death predictor, known as Life2vec, claiming remarkable accuracy in forecasting both the lifespan and financial status of individuals before their demise. Modeled after ChatGPT, the Life2vec system utilizes personal information, including health, education, occupation, and income, to make its predictions.
The AI draws on Denmark’s extensive population data to refine its accuracy, analyzing health and labor market information from 2008 to 2020, covering 6 million individuals. The death predictor boasts an impressive 78 percent accuracy rate, demonstrating its efficacy in predicting life outcomes.
Sune Lehmann, lead author of the study titled “Using Sequence of Life Events to Predict Human Lives,” explained that Life2vec employs transformer models, the same technology behind ChatGPT, to analyze human lives by representing each person as a sequence of life events. Lehmann highlighted the similarity between human lives and language, stating, “Just like words follow each other in sentences, events follow each other in human lives.
“Mortality prediction is an often-used task within statistical modeling that is closely related to other health prediction tasks and therefore requires Life2vec to model the progression of individual health sequences as well as labor history to predict the correct outcome successfully,” the study’s authors added.
Unlike ChatGPT, which excels in crafting creative text and navigating professional challenges, Life2vec takes a unique approach. This AI delves into the personal histories of individuals, analyzing details such as health, education, career, and income. Through this comprehensive examination, Life2vec aspires to predict not just career success or lifestyle choices but a more profound aspect—the very outcome of a person’s life. Essentially, Life2vec aims to hold a mirror to the past, providing insights into the future it reflects.
As AI continues to evolve and delve into diverse applications, Life2vec raises intriguing ethical and privacy considerations, given its ability to predict personal life outcomes. The development signifies a leap forward in utilizing artificial intelligence for predictive analysis in the realm of mortality and financial forecasting.
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