"
AI Predicting Lifespan" means that AI and machine learning algorithms are
used to analyse data related to various factors and determine how long a person
can be expected to live. Often, such forecasts are made based on several types
of information: medical history, lifestyle choices, genetic information, as well
as the surrounding environment.
Predicting lifespan with the help of artificial intelligence is aimed at
providing people as well as healthcare professionals with facts on the basis of
which they can make informed decisions regarding treatment, lifestyle changes,
and preventive measures.
Based on extensive data, the AI algorithms could
identify patterns and are likely to suggest individual predictions that could
lead to early recognition of potential threats and actions to enhance one's
well-being throughout their lifespan.
In Kongens Lyngby, Denmark, a group of scientists has begun examining the
mysteries of human life through the use of artificial intelligence (AI) and
extensive collections of data. With their invention called life2vec, they expect
to unveil the intricacies of an individual's life story, spanning from beginning
to end – a testimonial representation that will showcase the positive sides as
well as perils involved in this innovative technology.
The group that came up with Life2Vec, led by Sune Lehmann, an associate
professor at the Technical University of Denmark, aims to use deep-learning
algorithms as predictive tools for detecting many health and social events.
Rather than a morbid fascination, their goal is the discovery of underlying
patterns and correlations that are concealed within human life's complexities.
Lehmann explains that it is a highly adaptable framework for predicting events
in people's lives and that it can make predictions about anything if only you
have your training data at hand.
Following ChatGPT's AI system approach, the algorithm looks at factors such as
birth, education, social welfare benefits, and employment timetables. By
studying complex sequences of events, life2vec attempts to discover patterns in
human life evolution and make predictions about future changes.
A hypothetical tool called the "death calculator" could be on its way as a
result of life2vec unveiling. This is due to unscrupulous sites promoting life
expectancy forecasts after collecting private data. The scientists stress that
this program is still proprietary and does not share with any users or academic
circles.
The life2vec has its roots in the large dataset provided by around 6 million
Danish citizens, which has been collected by reliable Statistics Denmark. By
analysing event sequences and using an advanced algorithm, the results are said
to be accurate, sometimes predicting the future with surprising precision.
Lehmann says, "What we do is look at early mortality, mortality before age 35
and after age 65. Then we try to predict in any way whether the person will die
in the next four years or not."
Although it is being touted as a revolutionary concept, life2vec still remains a
theoretical idea to be researched further rather than applied practically.
Lehmann and his colleagues also plan to examine more closely the long-term
consequences and the impact of social bonds on life and well-being.
A project is important not only for scientific reasons but also as an antidote
to the artificial intelligence systems employed by large corporations such as
Google and Facebook. Lehmann highlights transparency and open discussion as
important measures to help understand how these technologies work and what their
effects might be.
Pernille Tranberg, a Danish data ethics expert, also emphasizes that in the
context of business use cases, there is a considerable risk of misuse of similar
algorithms as well, primarily in the areas of insurance and health care because
the predictive models can worsen discriminatory practices.
When it comes to predicting mortality for business purposes, Tranberg advises
considering the dependability and moral issues of these types of activities.
While trying to solve the enigma of life, life2vec shows the miracle of AI in
transforming human culture with a glimpse of what might be and at the same time
is sending out an appeal to not be too carried away by these inventions without
ethical scrutiny.
Nevertheless, it is crucial to remember that the estimation of life length is
never really precise and has quite a few restrictions. Unanticipated accidents,
the emergence of new medical treatments, and personal differences can affect the
actual lifespan.
On another note, it should be highlighted that there are some
ethical issues concerning privacy, consent, and misuse that need to be resolved
before developing and using AI technologies for life expectancy predictions.
Reference: The Japan Times
Written By: Md.Imran Wahab, IPS, IGP, Provisioning, West Bengal
Email: [email protected], Ph no: 9836576565
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