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We are always worried that robots rule society, but in fact, robots may be more afraid of human beings
We are always worried that robots rule society, but in fact, robots may be more afraid of human beings
It seems that every month there will be some about artificial intelligence (AI) to steal our jobs, hurt our hearts, or directly to the news headlines or movies we all kill appear.
But there seems to be some difference when it comes to artificial intelligence. The pace of technological change seems too fast. The idea of intelligent machines seems too similar to us to give comfort, and the primitive fear of machines replacing humans is becoming more and more serious. Unfortunately, these concerns have been transferred to the academic and legal aspects of the technology, like Adam Seiler (Adam Thierer), Raymond Russo (Raymond Russell) the mercatus Center (Mercatus Center) of the study, as well as your real discussion. Unfortunately, the worst behavior in our paranoid imagination can lead to laws that exclude us from the amazing development of health, manufacturing and transportation.
First of all, it's important to figure out what the line is. The story of killer robots and inhumane future in science fiction is the stuff of fiction. The implementation of artificial intelligence technology will also become more mundane and more unrealistic. They will be commonplace, because when they are most effective, they will be so seamlessly integrated into our environment that it is almost imperceptible. But they will be great because they are likely to save millions of lives, save billions of dollars, and make our lives easier and more comfortable.
Think about manufacturing. Many people worry that robotics and artificial intelligence pose a risk to traditional jobs. But even on the most worrying impact of automation on the work found that the vast majority of workers will be good, those affected people may find better jobs, while the automation will improve the quality of their work. But at the same time, according to McKinsey and company data, improvements in manufacturing technology by artificial intelligence could be worth about $1 trillion and 400 billion in 2025. This huge figure also represents the real savings of the least affluent, and is likely to exacerbate the gap between the rich and the poor.
Or consider health care. Doctors have used artificial intelligence enhancement technology to guide their precise operation, help them to more effectively diagnose the disease, and even help the patient tracking health situation in a very long period of time. These technologies may indeed save lives, and in the next 10 years, they expect to reduce costs in the out of control healthcare industry by tens of billions of dollars.
It is not unrealistic to prevent artificial intelligence technology from bringing real risks to millions of people's lives. This is as simple as preventing thousands of preventable highway deaths per year by preventing the development of driverless cars.
These are just a few of the examples we highlighted in our report. Many scholars of technical problems argue that this is not as optimistic as expected. They argue that the risks of artificial intelligence technology, whether they are labor transfer, personal security, or entirely different influences and discrimination, are "stop first and ask questions again". The laws they propose will effectively cool artificial intelligence research; in fact, some advocates of these positions are clearly aware that this is their goal.
Interestingly, the traditional concerns about automation, namely the displacement of the labour market and the effects of income, are increasingly overtaken by new concerns about risk and social discrimination. In terms of the metanarUNK structure, the widespread concern about "super intelligence" and "hard" artificial intelligence was adopted by musk in the book "super intelligence" published in 2014. However, as we discussed in the paper, there are many differences in the scientific community, that is, whether these results are physically feasible. However, as we discussed in the paper, there is a great deal of disagreement between the scientific community and the physical world. Hey, if things get worse, we can always unplug the machine.
For most readers, it is more familiar with the concerns of social politics that day. A large part of artificial intelligence comes from critics who are not afraid of Armageddon, but such algorithms and machine learning software are available
This is not just a Luddite (a fear or disgust technology, especially the new technology threat existing work form.) Problems. Like Elon Musk, a technology enthusiasts often quoted the fear and loathing of artificial intelligence, compare it to an evil demon, must pass the national power to dispel it. As all these anti AI prejudices emerge, liberals and technologists will stand before legislators and academics who want to suppress these technologies.
But there seems to be some difference when it comes to artificial intelligence. The pace of technological change seems too fast. The idea of intelligent machines seems too similar to us to give comfort, and the primitive fear of machines replacing humans is becoming more and more serious. Unfortunately, these concerns have been transferred to the academic and legal aspects of the technology, like Adam Seiler (Adam Thierer), Raymond Russo (Raymond Russell) the mercatus Center (Mercatus Center) of the study, as well as your real discussion. Unfortunately, the worst behavior in our paranoid imagination can lead to laws that exclude us from the amazing development of health, manufacturing and transportation.
First of all, it's important to figure out what the line is. The story of killer robots and inhumane future in science fiction is the stuff of fiction. The implementation of artificial intelligence technology will also become more mundane and more unrealistic. They will be commonplace, because when they are most effective, they will be so seamlessly integrated into our environment that it is almost imperceptible. But they will be great because they are likely to save millions of lives, save billions of dollars, and make our lives easier and more comfortable.
Think about manufacturing. Many people worry that robotics and artificial intelligence pose a risk to traditional jobs. But even on the most worrying impact of automation on the work found that the vast majority of workers will be good, those affected people may find better jobs, while the automation will improve the quality of their work. But at the same time, according to McKinsey and company data, improvements in manufacturing technology by artificial intelligence could be worth about $1 trillion and 400 billion in 2025. This huge figure also represents the real savings of the least affluent, and is likely to exacerbate the gap between the rich and the poor.
Or consider health care. Doctors have used artificial intelligence enhancement technology to guide their precise operation, help them to more effectively diagnose the disease, and even help the patient tracking health situation in a very long period of time. These technologies may indeed save lives, and in the next 10 years, they expect to reduce costs in the out of control healthcare industry by tens of billions of dollars.
It is not unrealistic to prevent artificial intelligence technology from bringing real risks to millions of people's lives. This is as simple as preventing thousands of preventable highway deaths per year by preventing the development of driverless cars.
These are just a few of the examples we highlighted in our report. Many scholars of technical problems argue that this is not as optimistic as expected. They argue that the risks of artificial intelligence technology, whether they are labor transfer, personal security, or entirely different influences and discrimination, are "stop first and ask questions again". The laws they propose will effectively cool artificial intelligence research; in fact, some advocates of these positions are clearly aware that this is their goal.
Interestingly, the traditional concerns about automation, namely the displacement of the labour market and the effects of income, are increasingly overtaken by new concerns about risk and social discrimination. In terms of the metanarUNK structure, the widespread concern about "super intelligence" and "hard" artificial intelligence was adopted by musk in the book "super intelligence" published in 2014. However, as we discussed in the paper, there are many differences in the scientific community, that is, whether these results are physically feasible. However, as we discussed in the paper, there is a great deal of disagreement between the scientific community and the physical world. Hey, if things get worse, we can always unplug the machine.
For most readers, it is more familiar with the concerns of social politics that day. A large part of artificial intelligence comes from critics who are not afraid of Armageddon, but such algorithms and machine learning software are available