Life2vec, an AI Death Calculator, gains widespread attention for its purported ability to predict the time of death with a remarkable level of precision.
Artificial Intelligence (AI) is driving significant transformations worldwide, impacting various facets of our lives, particularly in Healthcare. It presents opportunities for enhanced efficiency, precision, and improved patient outcomes. Remarkably, the intelligence of machines and software has now ventured into predicting the time of an individual’s death with a high level of accuracy.
The notion of using AI to predict death might seem eerie and implausible at first glance. However, the emergence of an AI death calculator named Life2vec is gaining attention for its astonishing 78% accuracy in forecasting the time of death. Beyond this, the AI-powered calculator claims to estimate a person’s total net worth during their final moments. A comprehensive study was conducted analyzing health and labor market data of Danish individuals between 2008 and 2020. This analysis involved factors such as education, profession, hospital visits, medical conditions, and financial status.
Utilizing this data, researchers developed a language model resembling a chatbot, similar to ChatGPT, to make these predictions.
The study’s author expressed enthusiasm, highlighting its potential to assist in various languages using a sequence of words.
Using the Life2vec model, scientists aim to address inquiries such as the likelihood of an individual passing away within the next four years.
A visual representation of the life2vec model’s data was provided (G. Savcisens et al.).
Following the study involving six million individuals, scientists indicated that Life2vec’s responses were nuanced, considering all other contributing factors.
As news of the AI calculator spread across various platforms, social media users reacted strongly, grappling with the implications of this groundbreaking invention that purportedly predicts the time of their demise. Some questioned its authenticity, while others expressed interest in knowing their predicted time of death to plan accordingly.