Will the robot replace the employee?

Artificial intelligence, robots, 3D printing – these are just some of the technologies that will almost certainly change the way most people work. Some may have to change their minds, but most professions will just change a bit.

Scientists from the Finnish Åbo Akademi warn that the increasing automation of work may cause the satisfaction with its performance to drop. “Our values ​​determine the choices we make in life, including those regarding career, work and competences. This is why it is important to understand how the changes taking place due to the introduction of new technologies will affect the work of the future and whether it will be in line with what we consider meaningful today “- the problem is outlined by Johnny Långstedt, author of the publication that appeared in” Labor & Industry “.

His team’s research has shown that when you automate strictly structured work, that is, one with clearly defined responsibilities and procedures, and then replace it with more creative, less regular and social skill-intensive tasks, it no longer matches the original values ​​of the employee. This, in turn, results in a marked decrease in work commitment and satisfaction. In other words, some people like clearly defined, structured tasks and may feel uncomfortable in a job that requires a different approach.

“Until now, the talk was mainly about how good it is that the amount of routine work is decreasing. But what about those who like it. This is the first study designed to understand how our values ​​relate to the work we expect to do in the future, ”says Johnny Långstedt.

Meanwhile, as Finnish scientists recall, advances in the field of artificial intelligence or robotics make us think deeply about the future of the current professions. Researchers cite estimates according to which, within 10-20 years, as many as 60 percent of the world’s population all professional tasks will be changed in some way by new technologies. Various experts talk about big changes.

For example, James Timbie of the Hoover Institution, a former US State Department adviser and one of the editors of Beyond Disruption: Technology’s Challenge to Governance, says large-scale transformation is inevitable. Artificial intelligence, robotics, 3D printing and other technologies, according to him, will on the one hand allow for a much more efficient production of various goods and easier access to services, and will replace subsequent human activities. This will benefit society as a whole, but some workers may face problems.

However, do you need to worry? A dedicated report sponsored by The Internet Foundation in Sweden identified some main conclusions. First, the possibilities of automating non-routine tasks, such as those requiring independent movement, creativity, problem-solving or complex communication, are limited. Secondly, the nature of work is to change – routine tasks will be performed by machines, and people will cooperate with them. According to the authors of the report, sectors of the economy such as accommodation services, transport and storage, retail and wholesale, and industrial production are the most susceptible to change. Most jobs are to be changed by automation, but only a few will be completely eliminated.

Similar theses are made by prof. Erik Brynjolfsson of the Massachusetts Institute of Technology (MIT), who studies the impact of artificial intelligence. According to him, AI will, at least for now, take over mainly single tasks. “Our research suggests that a shift is needed in the current debate about the effects of AI. From focusing on the full automation of entire jobs and widespread job changes, towards the modification of jobs and business models “- says the specialist. The researcher and his team developed a system to check how much different tasks are susceptible to automation and analyzed over 900 professions present in the USA. He reminds that, contrary to Hollywood visions, technology is still far from replacing humans and will probably remain so for a few more decades.Intelligent systems today can deal with various but well-defined activities, such as. speech processing and image recognition. “In almost every profession, there is at least one task that can change, but there are also many that will remain the same. Some works include more tasks susceptible to automation by artificial intelligence “- explains Prof. Brynjolfsson. An example is the profession of a doctor-radiologist. The AI ​​system is better and better at analyzing the results of radiological tests, but patient care, or even appropriate information about the results and further conversation, is a domain typically intended for people with their extensive knowledge, experience and social skills. On the other hand, e.g. receptionists, cashiers,it is much easier to replace sellers. Therefore, according to scientists from Northwestern University and MIT, greater changes due to work automation will take place in small towns. The researchers reached such conclusions when they applied the robotization model to geographic and sociological data. Some also argue that the jobs considered “female” will be more stable, such as a nurse, teacher or carer. The fact is that many of these positions often require high social competences, such as empathy, and this is the most difficult for machines. It is not known whether they will ever learn this.when they related the model of the vulnerability of professions to robotization to geographic and sociological data. Some also argue that the jobs considered “female” will be more stable, such as a nurse, teacher or carer. The fact is that many of these positions often require high social competences, such as empathy, and this is the most difficult for machines. It is not known whether they will ever learn this.when they related the model of the vulnerability of professions to robotization to geographic and sociological data. Some also argue that the jobs considered “female” will be more stable, such as a nurse, teacher or carer. The fact is that many of these positions often require high social competences, such as empathy, and this is the most difficult for machines. It is not known whether they will ever learn this.

 

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