Take a look at some of the recent news and information, you may think that robots will soon take our jobs, the terminator will kill us all, all we have no way out, resistance is futile. Musk and warnings about hawking, dangerous killer robots can brought disaster to human beings.

At best, even 99% of employers are reluctant to hire a robot, we might still have been shaken in the position in social and economic, a lot of hard work will get into trouble. So, we should carefully think about it now, for present and future of artificial intelligence will produce what kind of impact? It's a very complicated question: what kind of jobs will be affected? The affected people how again obtain employment, back into the economic development?

But do you know about artificial intelligence, the more the more will realize that most of us don't know the actual development of this technology, it directly affects our feelings about the real world of artificial intelligence. And Siri chat very happy, it is a kind of artificial intelligence, it is the same thing, but some areas of artificial intelligence development speed is much faster than other areas, it is another thing.

You may not be the terminator

Let the terminator to become a reality, there must be a lot of technology at the same time very advanced level. But from a practical, researchers in some aspects, such as natural language processing and data analysis has obtained the very big progress, but in other areas, such as decision-making and deductive reasoning, where it was poor. Why is that? Because in the 2000 s, scientists in neural networks, the data interpretation system of artificial intelligence has made breakthrough progress.

Banavar said: "the media rarely mentioned one thing is that artificial intelligence is, in fact, the combination of multiple techniques, you can't just look at one of the development of technology, and assuming that in other areas of artificial intelligence are go hand in hand with the same speed."

This is not to say that scientists would not "killer robots" other required fields to achieve new breakthroughs, but, for now, to create a terminator in technology is not so real. It is very important, because at the same time, we get progress in other fields can push us to create some artificial intelligence and the terminator is completely different.

For example, we progress in the field of machine learning is embodied in the Siri, Alexa, and Google Now on the rise of the digital assistant - they are very good at reading based on the request of the voice, but the other aspect is relatively weak. These "narrow ai" in research and development with the start of the specific purpose: to help people do some daily affairs, such as looking for weather forecast, text messaging and so on.

Who will lose their jobs?

Because we are better at these "narrow ai systems design, some experts predict, skilled workers to adapt to the development of technology, put them as a tool, and at the same time, low-skilled jobs like boat the raging storm. The Obama administration has studied this problem and found that the current hour less than twenty dollars (about 130 yuan) jobs, 80% one day may be replaced by artificial intelligence.

"It takes a long time, it is unlikely to be losing 80% of their jobs, these people can't again obtain employment situation." Mr Obama's senior economic adviser to Jason? Foreman (Jason Furman) said in an interview. "But even lost 80% of its jobs, these people only 90% to 95% of people who can again obtain employment, also is the structure of the giant leap."

The government needs to make a feasible plan, to solve this looming problem of employment. But it also suggests a way out: for high income work, less adverse impact of the automation. When compared to low-income work, pay between $20 and $40 a man about a third of the undercut by robot for a while. In high income work, that number was only 5%.

Of course, if the scientists have been able to develop a machine workers, can really work like humans, these Numbers will be different - in this case, even if you do is work with extremely high content of technology, also hard to avoid can feel panic. But as I said, we now research focuses on the "narrow ai", so things may not be so bad.

How to prepare for high technical type of work

So, the key is to make as much as possible of low skilled workers moved to the high technical type of work. Some of the high technical type of work has emerged, some has not yet been invented. So the question becomes: how can we prepare for not the type of work?

Engineering and IT at the university of Maryland, Julia? Ross believes that you need to learn how to improve flexibility. We should grab from baby, cultivate children to associate with people from different backgrounds as early as possible, let the children try there is no fixed answer questions, teach them how to become more creative, how to do critical thinking.

Rose said to the Washington post: "you need to be a life-long learner, you learn something today May 5 years out of date - you want to adapt to this situation, for his own learning confidence. This is what we need to instill in each student."