The advantage of automation is that we as a collectivity need to work less and more and thus get more free time.This process has been underway since the beginning of the Industrial Revolution. In Eurpa We now only work 30 – 40 hours a week and in addition we also have a further 5 – 6 weeks holiday and we often do not work under the age of 20 years and above the age of 67 years (often we stop earlier because employers rarely accept 55 plus)
This process just goes on.The current culture with the current work ethic requires, however, that work is underway. Much of the current work is actually already completely redundant and more of an activity thearapie. 15 hours per week would be sufficient to maintain the current production of goods and service. Many jobs are already redundant.
The most visible in the coming time is the disappearance of:
We See the last year more and more even ankassas in supermarkets.
Self-propelled cars will soon drive safer and faster than human drivers. The same applies to train drivers and pilots.
Although the function is status-enhancing for both the manager and the organization, you see that reorganizations are much more likely to have complete management layers deleted. Where 20 years ago often productive people sneaky fields are now much more often the improductive status jobs de Klos. EDIT: The terminology in Dutch is rather forcibly enforced.In this field and in the West mainly English is used, therefore it all sounds strange in Dutch. As in all technical sectors, it is the marketing department that defines the terminology. The hyperbola is called it, artificial intelligence is just computing power and mathematics and has nothing to do with real intelligence. Through statistics and calculations it is attempted to approach something that man can easily.
Technology in general and automation has long been present in the business world.Car assembly for example. Is there really someone who would like to be on the line for a godwhole day and to screw up the same screws in the next car? The work that is repetitive, very boring and potentially dangerous, are the jobs that are going to disappear. Additional benefits are that robots do not need a pee break, 24/7 can work and do not include holiday days or sick days.
You have to see it as a highjumper.First the bar is low and almost everyone can jump over it. Evolution creates an ever higher lying bar. Today we already have many people who are close to the point that they can no longer jump over the bar. The weight of a whole society will rest on the shoulders of bad a few in the long term. These few should focus on work and progress, which actually creates a market for services. The housekeeping, the garden, child care is what these people need. However, there are few people who want to do the household for someone else, who want to maintain the garden and who want to absorb the children in the right way. People who like to do that and at the same time provide the required quality and security. At the same time, with fewer shoulders wearing the heaviest burden and a changing job market, other factors are important. For work where no diploma is required, the wage is low. The difference between pay and allowance is so small that no one will work 40 hours a week for about the same income for 0 hours of work.
Automatisation, especially when it comes to automatic driving, is far away.The Pareto principle ensures that you do 80% of the work in 20% of your time, there are already cars around that are “smart”. However, a car should really take into account every possible situation. For example joke dresses that try to deceive the wagon by making a sudden movement. Well, the last 20% will cost a lot of time. Also because the media always focus on accidents with self-propelled cars, one tolerates zero accidents while one does know how many accidents (and deadly) happen with cars controlled by people. Even if one does statistically better than the human driver, there will be plenty of fear for the self-driving car. Fear now sells once and there are quite few people who know what is Kunstamtige intelligence. It is purely mathematics, statistics and probability theory. Gigantic many parallel calculations to imitate something that man can naturally mimic. It is mimicking, and no intelligence. A consciousness, terminator robots and machines that eradicate people are currently still science fiction, decades away. In this sense, ethics and AI must be seen as a joke that is understood by several tens of thousands. The rest has nightmares of it.
First of all, we are now in a phase where we actually only develop machine learning (ML) technology.ML is a subfield of the artificial intelligence (AI) field of research.
ML mainly automated acts that are often repeated.This means that it is not likely that all sorts of jobs disappear completely but that many professions will be supported by the knowledge that can be developed with ML.
ML is not intelligent and does not have an awareness or awareness of reality.ML is often a solution that can take smart decisions in a very specific situation but that knowledge of the decision cannot apply to other situations.
The first jobs that will be automized with the current ML techniques, while the economic importance is large enough to put money into innovation, will first disappear.
An example of this is Tesla who developed fully autonomous cars and is expected to be able to drive in 2022 without driver.In the USA there are 3 million vehicle drivers who earn money in the transport sector.
The average price for a mile in Uber/Lyft is $3 where there are $0.68 per mile costs for a traditional car.
Tesla assumes that the cost of their electric car drops to $0.28 per mile.And that every Tesla owner can use the car as Robotaxi for $1.25 per mile.
If this expectation comes true speak for everyone uses a Tesla Robotaxi for 45% of the price of an Uber.In This scenario, all the jobs of taxis will disappear.
Tape work, routine work, arithmetic, everything that can be replaced by a robotic arm.Is already busy. Innovation is our future, specialisation.
Jobs at call center will most likely change dramatically.Machines are now particularly good at answering simple high volume questions. However, everything that is more complex will have to take over man. Actually the really intelligent work. Also in subjects with an emotional charge, you need a human being. Understanding emotions and the context of a question remain very difficult for a machine for the time being (yet).
However, if you want to remain relevant to a customer service desk and use the new techniques successfully, it is important that you now go deeper into how the man and machine can work best together so that the strengths of man are combined with the Strong sides of a machine: leadership, teamwork, creativity, emotions and social skills of man, and the speed at which information can be processed and scalability of the machine.This is also known as augmented or collaborative intelligence .
Man should be increasingly deployed to train the machine, support responsible use of the machine and monitor ethical and correct data usage.
The machine will continue to process information more and more quickly and then use people to respond to the most complex issues.
To take full advantage of this collaboration, Harvard Business Review (Wilson & Daugherty, 2018) writes that companies need to understand how people can improve machines most effectively, how machines can improve what people do best And how business processes can be re-designed to support collaboration.