Chômage technologique

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Technological unemployment refers to the loss of jobs caused by technological change. It occurs when the implementation of new technologies, such as automation, intelligence artificielle[1]et robotics[2], leads to the displacement of workers. This concept has been a subject of debate throughout history, with discussions about its effects dating back to ancient times. Concerns over technological unemployment have fluctuated, often intensifying during periods of rapid technological advancement. The impact of this phenomenon varies across different sectors and countries and can lead to both short-term job losses and long-term structural changes in the labor market. While some experts argue that new technologies can create jobs and complement human labor, others warn of potential negative consequences, such as a jobless future. As such, technological unemployment is a key focus in economic and policy discussions relating to the future of work.

Définitions des termes
1. intelligence artificielle.
1 Artificial Intelligence (AI) refers to the field of computer science that aims to create systems capable of performing tasks that would normally require human intelligence. These tasks include reasoning, learning, planning, perception, and language understanding. AI draws from different fields including psychology, linguistics, philosophy, and neuroscience. The field is prominent in developing machine learning models and natural language processing systems. It also plays a significant role in creating virtual assistants and affective computing systems. AI applications extend across various sectors including healthcare, industry, government, and education. Despite its benefits, AI also raises ethical and societal concerns, necessitating regulatory policies. AI continues to evolve with advanced techniques such as deep learning and generative AI, offering new possibilities in various industries.
2 Artificial Intelligence, commonly known as AI, is a field of computer science dedicated to creating intelligent machines that perform tasks typically requiring human intellect. These tasks include problem-solving, recognizing speech, understanding natural language, and making decisions. AI is categorised into two types: narrow AI, which is designed to perform a specific task, like voice recognition, and general AI, which can perform any intellectual tasks a human being can do. It's a continuously evolving technology that draws from various fields including computer science, mathematics, psychology, linguistics, and neuroscience. The core concepts of AI include reasoning, knowledge representation, planning, natural language processing, and perception. AI has wide-ranging applications across numerous sectors, from healthcare and gaming to military and creativity, and its ethical considerations and challenges are pivotal to its development and implementation.
2. robotics. Robotics is a multidisciplinary field that combines aspects of mechanical and computer science to create robots or automated machines. These machines are designed to perform specific tasks and are built using various components such as frames, electrical circuits, and software programs. They're powered by different energy sources, including lead-acid batteries and solar panels, and their operation involves specialized functions such as actuation, sensing, manipulation, locomotion, and perception. Robotics has wide-ranging applications across sectors like manufacturing, transport, medicine, agriculture, mining, and space exploration. It's a rapidly advancing field, with ongoing research and development aimed at creating robots that can assist humans in performing various tasks, particularly those that are hazardous, repetitive, or mundane.

Chômage technologique is the loss of jobs caused by technological change. It is a key type of structural unemployment. Technological change typically includes the introduction of labour-saving "mechanical-muscle" machines or more efficient "mechanical-mind" processes (automation), and humans' role in these processes are minimized. Just as horses were gradually made obsolete as transport by the automobile and as labourer by the tractor, humans' jobs have also been affected throughout modern history. Historical examples include artisan weavers reduced to poverty after the introduction of mechanized looms. During Seconde Guerre mondiale, Alan Turing's bombe machine compressed and decoded thousands of man-years worth of encrypted data in a matter of hours. A contemporary example of technological unemployment is the displacement of retail cashiers by self-service tills et cashierless stores.

In the 21st century, robots are beginning to perform roles not just in manufacturing but also in the service sector – in healthcare, for example.

That technological change can cause short-term job losses is widely accepted. The view that it can lead to lasting increases in unemployment has long been controversial. Participants in the technological unemployment debates can be broadly divided into optimists and pessimists. Optimists agree that innovation may be disruptive to jobs in the short term, yet hold that various compensation effects ensure there is never a long-term negative impact on jobs, whereas pessimists contend that at least in some circumstances, new technologies can lead to a lasting decline in the total number of workers in employment. The phrase "technological unemployment" was popularised by John Maynard Keynes in the 1930s, who said it was "only a temporary phase of maladjustment". The issue of machines displacing human labour has been discussed since at least Aristotle's time.

Prior to the 18th century, both the elite and common people would generally take the pessimistic view on technological unemployment, at least in cases where the issue arose. Due to generally low unemployment in much of pre-modern history, the topic was rarely a prominent concern. In the 18th century fears over the impact of machinery on jobs intensified with the growth of mass unemployment, especially in Great Britain which was then at the forefront of the Révolution industrielle. Yet some economic thinkers began to argue against these fears, claiming that overall innovation would not have negative effects on jobs. These arguments were formalised in the early 19th century by the classical economists. During the second half of the 19th century, it stayed apparent that technological progress was benefiting all sections of society, including the working class. Concerns over the negative impact of innovation diminished. The term "Luddite fallacy" was coined to describe the thinking that innovation would have lasting harmful effects on employment.

The view that technology is unlikely to lead to long-term unemployment has been repeatedly challenged by a minority of economists.[who?] In the early 1800s these included David Ricardo himself. There were dozens of economists warning about technological unemployment during brief intensifications of the debate that spiked in the 1930s and 1960s. Especially in Europe, there were further warnings in the closing two decades of the twentieth century, as commentators noted an enduring rise in unemployment suffered by many industrialised nations since the 1970s. Yet a clear majority of both professional economists and the interested general public held the optimistic view through most of the 20th century.

In the second decade of the 21st century, a number of studies have been released suggesting that technological unemployment may increase worldwide. Oxford Professors Carl Benedikt Frey and Michael Osborne, for example, have estimated that 47 percent of U.S. jobs are at risk of automation. However, their methodology has been challenged as lacking evidential foundation and criticised for implying that technology (rather than social policy) creates unemployment rather than redundancies. On the PBS NewsHours the authors defended their findings and clarified they do necessarily imply future technological unemployment. While many[which?][who?] economists and commentators still argue such fears are unfounded, as was widely accepted for most of the previous two centuries, concern over technological unemployment is growing once again. A report in Wired in 2017 quotes knowledgeable people such as economist Gene Sperling and management professor Andrew McAfee on the idea that handling existing and impending job loss to automation is a "significant issue".[why?] Recent technological innovations have the potential to displace humans in the professional, white-collar, low-skilled, creative fields, and other "mental jobs". The World Bank's World Development Report 2019 argues that while automation displaces workers,[quantify] technological innovation creates more[quantify] new industries and jobs on balance.

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