New AI Tool Predicts Human’s Time Of Death

There is currently an existing  AI tool that m will predict when you will die using ChatGPT-like technology. 

This AI tool will predict when you will die using ChatGPT-like technology.

A new AI tool developed by Sune Lehmann, a professor from the Technical University of Denmark, claims to predict a person’s life expectancy with 78 per cent accuracy.

However, the tool is meant for entertainment purposes only and should not be considered definitive.

The AI, named ‘life2vec’, analyzes various aspects of a person’s life to estimate life expectancy.

The tool was tested on 6 million Danish people, predicting with over 75% accuracy who would live at least four years beyond 2016.

The team hopes to use the AI’s insights to identify factors contributing to longevity without infringing on individual privacy.

While most individuals don’t eagerly seek information about their life expectancy, some are curious to plan ahead.

A new AI tool has emerged online, akin to ChatGPT, aiming to analyze users’ lives and predict their potential time of passing.

However, before delving further into this AI tool, it’s crucial to state a disclaimer: India Today Tech does not assert the accuracy or reliability of this AI tool’s predictions.

The results should not be considered definitive, and the information should be taken solely for entertainment purposes.

The report from the New York Post highlights a groundbreaking AI tool that claims to predict when a person might pass away. Developed by Sune Lehmann, a professor from the Technical University of Denmark, this new algorithm, named “life2vec,” harnesses various aspects of a person’s life, like income, profession, residence, and health history, to estimate life expectancy with around 78 per cent accuracy.

Unlike the ChatGPT technology, which helps with job searches or fashion choices, life2vec takes a different approach. It analyzes individual life details to forecast outcomes, not just death but also personalities and decisions like relocating to another country.

Lehmann’s team conducted extensive research on 6 million Danish people between 2008 and 2020, employing life2vec to predict which individuals would likely live for at least four years beyond January 1, 2016. They structured individual life events into sequences, comparing them to how words form sentences in language.

The AI was fed personalized data in a structured format, representing diverse life events with specific codes. For example, a workplace injury might be labeled as S52, while various occupations or medical incidents had their own unique digital tokens.

The accuracy rate was remarkable: life2vec almost flawlessly predicted individuals who had passed away by 2020, achieving an accuracy rate of over 75%.

The study also noted factors potentially contributing to earlier death, such as being male, having mental health issues, or holding a skilled job. Conversely, higher income and leadership roles were associated with longer lifespans.

Lehmann stressed that none of the study participants were informed of their predicted lifespan, highlighting ethical considerations.

While the tool isn’t available to the public or corporations yet, Lehmann and his team intend to delve further into how this AI could help people live longer by identifying relevant factors without compromising privacy.

Although AI might not be utilized for specific individual notifications, it could be invaluable in learning which factors contribute to longevity. The team hopes to use the AI’s insights to benefit society without encroaching on individual privacy, possibly uncovering more ways to promote longer, healthier lives without divulging personal death predictions.