labor automation

Labor automation is the practice of replacing technology with labor to perform specific tasks or tasks. Automation includes mechanization, but it is also extended by using technology to further eliminate people from work. Today's terms are usually applied when deployed technology is not just a manual process but replaces a knowledge base task or location.

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The root of automation is in mechanization, it can be traced back for centuries - for thousands of years - in history people are using technologies (rough tools like stoneware) to replace human duties Even). An example of mechanization is backhoe, which replaces the use of manual labor to dig. The development and deployment of cash automated teller machines (ATM) is a clear example of automating knowledge-based tasks using kiosks at airports rather than manually checking passengers and issuing flight documents is.

The current automated iteration extends the way the technology replaces the labor force. Today, labor automation is increasingly using artificial intelligence and machine learning to perform not only the human muscle but also work that previously required the human brain. One example is electronic discovery (e discovery), where the computer performs a legal document review. Another example is to use a computer rather than a radiologist to diagnose the condition of the radiological image. The other is to use the computer to purchase advertising space programmatically.

At present, the automation of labor is centered on tasks of computer exchange of specific functions, mainly not the whole person's job is more general. For example, lawyers still have work, even if they or their interpersonal stakeholders are not involved in any discovery. However, with the rapid development of technology, people expect computers to take over more and more tasks, and then finally complete the whole work.

Labor automation can have a major impact on economic conditions. Experts predict that in the process many workers will be replaced by computers. This is often referred to as robotic process automation. In fact, research frequently cited by Oxford Martin College's Future Technology Impact Program is estimated to make it more likely that 47% of US employment will be handed over to the computer over the next 20 years.

Waves of past mechanization and automation also caused massive migration of workers and the majority of migrant workers moved to higher level jobs in the past. A typical example is where the trench excavator enters the backhoe operator. Some economists expect the same change in labor automation, but some people question the type and quality, and location of tasks that are maintained when large computerization occurs. Therefore, some people think that automation of labor has an impact beyond the fields of labor and economics, which may affect social, academic, political and philosophical policies.

The possibility of automation The appeal of automation is that it replaces capital investment in labor equipment necessary for mechanized processing system. In addition to direct effort reduction, the automated stem can run faster and more accurately. Its disadvantages are the high capital investment required and complexity of development and application. To date, most automation systems have been custom designed and built for each application. The above six guidelines for selecting a mechanized processing system can not be applied to automated systems. For example, automated system storage is part of processing power and may account for 50% of total investment. The ratio of the weight to the payload is independent of the automatic processing application. Computers play an important role in all processing systems, but they are important for automated systems.

The current automated iteration extends the way the technology replaces the labor force. Today, labor automation is increasingly using artificial intelligence and machine learning to perform not only the human muscle but also work that previously required the human brain. One example is electronic discovery (e discovery), where the computer performs a legal document review. Another example is the use of a computer rather than a radiologist to diagnose the condition of the radiological image. The other is to use the computer to purchase advertising space programmatically.