However, these remedies are unnecessary, and the latest research can help explain why. This research focuses on machine learning and artificial intelligence technology of patent office. In the Patent Office, the review team must evaluate previous innovations to determine whether new patent applications are eligible for protection. Combining the insights of this study with historical lessons, there are at least three general rules applicable to human interaction with technology at any time.
First, with the improvement of technology interface, more and more people are participating from the edge of the economy. Early room-sized computers required scientists wearing laboratory white coats to start the machine and insert punched cards into the correct slots. Plumbers, automotive mechanics and factory workers are not able to access strictly protected laboratories. Its like the usual Disclaimer on old TV shows, warning people not to try at home!
Todays computer users seem quite different, and even children are used to doing things fluently in Fortran, a programming language. But this does not mean that unskilled workers have become smarter, but that the user interface has become much simpler and power has shifted to the public. WYSIWYG editors, promoted by Apple, have opened the door to the widespread use of computers. Suddenly, even novices can write word documents, store recipes, play cards and manage family checkbooks.
Since then, options have multiplied. Today people can edit videos, translate text into dozens of languages, and even conduct background checks on potential dates, all of which are done in line at the grocery store. In the 1950s, even IBM engineers couldnt do that.
Second, with the cooperation of human beings and machines, the economy will grow. Machines have not really replaced humans or made them useless. On the contrary, machines are human supplements, making their production more efficient, more valuable and ultimately safer. We see this trend in patent applications. Machines that work alone can sometimes make mistakes, which is where human beings use their judgment. But human beings are not as efficient as machines in processing data.
As the best-selling book Prediction Machines in 2018 points out, the best result is the joint efforts of machines and humans to combine the predictive ability of artificial intelligence (AI) with human creativity and critical talent.
Think about the lessons of banking and retailing. In the 1970s, when ATM machines appeared, cashiers became panicked. In the 1980s, Nasdaq traders boycotted when digital technology threatened orders for artificial telephones. In the 1990s, when grocery stores and department stores had self-checkout channels, cashiers complained.
The World Bank estimates that more than half of the worlds population is currently able to use digital money, helping billions of people out of poverty. If society tries to return to the era before automation, global stock markets will collapse overnight. Only one country in the United States needs a lot of labor to keep up with the pace of daily financial transactions. At present, the size of financial transactions in dollar terms has climbed to $14 trillion.
Even if workers had battery-powered old calculators with orange-red numbers flashing on them, they would be countless times faster than manual calculations. Obviously, without mobile payment and electronic payment, the current level of productivity is impossible to achieve. Economic growth depends on technology. But at the same time, it also depends on people. They need each other. John Henry had challenged a steam drill, and he was clearly misguided. When people step back and let machines do what they are best at, people will liberate themselves to do what they are best at.
For highly skilled workers, this may mean writing code to start automation. For low-skilled workers, this may mean interacting with technology in a professional way that does not require a high degree. Professional knowledge at all levels of education contributes to economic growth. Finally, people will continue to innovate and create, no matter how advanced technology becomes. This is a unique human characteristic that creates value for all.
Third, human beings will continue to devote themselves to thinking or creative work. When an opportunity is closed, human beings will only turn their energies elsewhere. In the industrial and digital revolutions, as machines become more and more intelligent, the first jobs to disappear are either dangerous or trivial. Coal miners no longer need to inhale toxic gases and factory workers no longer need to stare at conveyor belts. Even children benefit by going to school instead of sweeping chimneys.
Overall, technology has given humans more time, which is arguably the most valuable commodity, enabling them to focus on higher-level tasks, such as relationship management, judgment and evaluation. When robots behave like robots, humans are more likely to act like humans. (Compile/Compile)
Source: Netease Intelligent Responsible Editor: Du Yao_NBJS7297