Artificial intelligence predicted with deaths is not as scary as it seems like it seems

When it is finally mentioned in the news headlines that artificial intelligence can be used to develop a ‘death calculator’ that predicts the day when a person will come, it seemed to come from a science fiction story. However, the reactions have shown how easily people are convinced that artificial intelligence has magical abilities to read the horoscope. Realistically, it was not excessive to this extent. The study, which caused a stir after its publication in the Nature Computational Science, used artificial intelligence to predict the possibility of death, but it was not very accurate. The artificial intelligence system was able to predict the possibilities of death on the basis of economic and health data for thousands of people in Denmark, as the accuracy of the predictions of the two exhibitions of death between them reached 78%during the next four years. The algorithms used to create actuarial tables can complete this type of statistical prediction, but the new Life2Vec system is more accurate and works in a completely different way. “Live 2 in You” predicts the events of life, as the redish robot “chat GBT” predicts the words. A double -edited weapon The results are of particular importance, not that it can produce a scary ‘mortality’ calculator, but because of how these predictions are used. For example, such algorithms can be used to serve purposes such as discrimination or to deprive people of their right to obtain health care or insurance. This can be used for good by highlighting the factors affecting the average age and helping people live longer. The virtual life bills, which some of us use, can also improve their retirement. Lehman said: “It was strange to see how the results were burned. People said this system based on artificial intelligence can predict the moment you will die incredibly,” because people have not yet understood technology. Like Arthur Si Clark, a science fiction legend, said any technique is sufficiently advanced between it and magic. At the same time, hospitals involve artificial intelligence applications in different functions. Will the doctors and hospital managers trust the decisions or expectations of these applications because they are fast and confident in their predictions? Can the medical system use artificial intelligence if people have unrealistic or fictional ideas about what it can do? Lehman said his work in this area is aimed at testing the ability of prediction of different types of life events, including changes that will occur in work, income and transition. Lehman is looking for a more consistent scientific understanding of the way algorithms can predict complex phenomena. However, these scientists are often treated as a black box that was shrouded by mystery. The researchers did not choose death because they were satisfied with a satisfactory involvement with it, but rather because there was an event that could be measured and accurately recorded. The question of youth groups will be very easy because you will often affect your expectations if you predict that none of them die during the next four years. Just as the prediction of deaths will not be the problem in a place within one year, you just need to know which one is more sick. The forecast of the future will be more difficult when the period extends until it has reached an advanced period for almost anyone who has died. The risk of predicting at this stage is artificial intelligence probably not anyone will surprise about the average life expectancy. If your health is good and is not elderly, you are expected to live for more than four years. Andrew Bim, a professor of biomedical information at Harvard University, said that you cannot be predicted that you will have a strange accident or that you will die within 10, 15 or 20 years. Pim pointed to the risk of misleading artificial intelligence due to the prejudices of power: “If you think someone is better than you or has access to information you do not have, there is a real tendency to disrupt critical thinking and believe what he says, whether it is a real person or an artificial intelligence algorithm.” The chat GBT chat is fluent in combining information, but it is not very selective and will involve questionable studies and false information. Bim said: “So if you are in a field that is not based on firm science or has not yet reached human knowledge, (chat GBT) will be the same if it is no worse than any real person.” Pim said that predicting a person’s death is good in the long run: “We must be careful when we ask artificial intelligence to do things that are still clear that it is a science fiction.” Sometimes imagination can monitor reality by reminding us that our actions affect the future, even about matters related to life and death. For example, let’s take what happened in the classic story of Charles Dickens, “Christmas Hymn”. The next Christmas ghost of Abnzer Skredge has reviewed a terrifying future, which is shot with loneliness, sadness and death. Skaroudj asked a smart and critical question: “Is this imagination of what would be or what could be?” If the correspondents who try to intimidate people with the ‘Live 2 in your’ system, asked this question, they would have obtained the same answer as Skaroudj obtained from the ghost: our actions can of course change the future, then the prediction does not determine our destinations. This new system improves that have shown other studies, namely that income and function can affect the length of your life. There is a connection between premature death and that one is poor and works in a work in which other authority exercises over him, something that Dickens realized long ago. Artificial intelligence can transform this general observation into influential scenarios of real life to motivate the modern era to address the inequality that limits the ages of many people.