A groundbreaking new study has revealed a revolutionary Artificial Intelligence (AI) death calculator, equipped with remarkable precision, that can forecast an individual's predicted time of death. Developed by researchers at the Technical University of Denmark, the algorithm known as "life2vec" utilizes key details from a person's life, such as income, profession, residence, and health history, to determine life expectancy with an astonishing 78% accuracy.

Lead author of the study, Sune Lehmann, explained that the technology behind ChatGPT and transformer models is applied to analyze human lives by representing each person as a sequence of events. Drawing a parallel between language and life, Lehmann compared the progression of events in human lives to words following each other in sentences.

Unlike popular AI assistant ChatGPT, life2vec delves into an individual's past to compute potential life outcomes. This versatile model goes beyond predicting death; it can also forecast personalities and decisions regarding international relocations.

The study, which examined a diverse population of 6 million Danish individuals from 2008 to 2020, found that life2vec could accurately predict who had died by 2020 with an accuracy rate of over 75%. Researchers constructed sequence-level representations of individual trajectories using the dataset, demonstrating the evolution of lives in a space of diverse event types.

Various factors were identified that could contribute to earlier death, including being male, having a mental health diagnosis, and holding a skilled profession. Conversely, earning a higher income or being in a leadership position were linked to a longer life.

However, it is important to note that participants in the study were not informed of their death predictions as researchers deemed it irresponsible. The primary purpose of life2vec is to understand the factors that potentially influence longevity rather than providing explicit predictions.

While the widely accessible implementation of this AI technology remains uncertain, the research team emphasizes that the AI is not intended for specific applications such as insurance policies or hiring decisions. Instead, it serves as a crucial tool to explore the possibilities, limitations, and insights concerning life expectancy.

As the study progresses, Sune Lehmann and his team plan to share more findings while ensuring the privacy of the research participants. The potential of life2vec extends far beyond predicting death, with hopes of uncovering further insights that may aid individuals in extending their lifespans.

In the future, the general public and corporations may benefit from the AI's capabilities, but its use would likely be limited to general understanding rather than making personal predictions or decisions. The remarkable foresight offered by life2vec opens doors to a deeper comprehension of what influences our lifespan and how certain factors can possibly extend or shorten it.