According to Jerry Kaplan, one of the world’s best computer science experts, jobs that will never die are those where the ability to inspire confidence and sensitivity is required.
Confidence and sensitivity, the challenge of robots.
Will robots ever replace people? Not in those jobs where the ability to inspire confidence and sensitivity is required, as well as elasticity in problem-solving. This is how Jerry Kaplan, computer science expert and Silicon Valley’s pioneer, says.
“If you are sad as you have not done well in an exam and go to a bar to drink something, would you like a robot to serve you, would you talk to him about your problems? Would you believe a robot trying to sell you a product? Would you like a robot to take care of you in a hospital? “Provoked Kaplan to the student audience.
Limits of algorithms.
According to Kaplan, not all jobs will disappear from the wave of automation. Despite the fact that robotics has made great strides over the years. And now, affective computing – or the programming of Androids is able to recognize and mimic human emotions. This is the ultimate limit of artificial intelligence.
Some of the people’s features can never be reproduced perfectly by an algorithm. “In most cases – the scientist points out – robots will replace people in all activities that predict execution techniques and predefined goals.”
In ten years, 50 percent of current professions will disappear.
This is not something new. Kaplan mentions the example of what happened to the centralists. “In America, a decade ago, a million centralists were counted, today are less than ten thousand. So they have been replaced by software that makes the calls.”
However, the impact of Artificial Intelligence on the labor market will not be painless. Kaplan estimates that in the next ten years, more than 50 percent of current professions will no longer exist.
From competition to cooperation.
More than a man-to-robot competition, the American professor prefers to talk about a collaboration.
“This will be the main way. Robotics can help people and support them at work as is happening in some 4.0 Industry domains” The difference compared to the past is that today people have the ability to design robots that are able to see and feel, interact and work with people by improving productivity.
“Computer science has evolved from being a symbolic approach to machines that were previously used to organize and compile complex calculations into a predictive approach to machine learning. Now robots know how to behave, “explains the professor. Only in a field, robots cannot compete with people: in sensitivity and confidence.