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In a groundbreaking development, scientists have introduced an algorithm named 'Life2vec' that leverages personal life stories to forecast an individual's future, including potential lifespan. The algorithm, developed by researchers in Denmark and the US, has an accuracy rate of approximately 78%, placing it among the top-performing predictive models.
Unlike conventional algorithms, Life2vec functions like a chatbot, utilizing existing personal data to anticipate future scenarios. The researchers trained the machine learning model on a comprehensive dataset encompassing over six million individuals from Denmark. This data included diverse information such as income levels, professions, residential locations, medical histories, and more.
The algorithm's predictions range from life expectancy to income trajectories. Factors such as gender, mental health diagnoses, and occupation were identified as potential indicators for premature death, while higher income and leadership roles were associated with longer life spans. Life2vec processes this information, treating each aspect of an individual's life as a component of a broader narrative, to generate predictions.
The model was validated using population data from 2008 to 2016 and successfully predicted mortality outcomes for individuals by 2020 in over 75% of cases. However, to safeguard the privacy of the individuals in the dataset, the researchers have restricted public access to the algorithm's data.
Lead researcher Sune Lehmann emphasized that the team is exploring methods to share insights from the research responsibly, adhering to privacy regulations. He also highlighted that using Life2vec for individual decision-making, such as insurance underwriting or hiring processes, would violate Danish privacy laws.
While the algorithm's insights offer valuable perspectives, Lehmann urged for a broader discussion on the ethical implications of such technology. He emphasized the need for public discourse to ensure that technological advancements align with societal values and aspirations.
[Information from DailyMail.co.uk]
