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ELS issues in robotics and steps to consider them. Part 1: Robotics and employment. Consequences of robotics and technological change for the structure and level of employment

机译:机器人技术中的ELs问题以及考虑它们的步骤。第1部分:机器人和就业。机器人技术的变化和技术变革对结构和就业水平的影响

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摘要

Recent advances in the field of digitization and robotics, such as driverless cars, largely autonomous smart factories, service robots or 3D printing, give rise to public fears that technology may substitute for labor on a grand scale. Against this background, the report reviews the existing literature on the employment effects of technological change to derive policy implications and to identify open research questions. We highlight that past technological change has mostly affected the structure of employment, but had only little or even positive effects on the level of employment. In particular, the recent computerization was associated with a declining share of routine-task-intensive middle-skill jobs, while, on net, it has led to an increase of labor demand. The scientific evidence further suggests that technological change in the foreseeable future will continue to mostly affect the structure of labor demand without necessarily changing total employment much. As we argue, the main challenge for the future of work lies in coping with rising inequality, as technological change creates both winners and losers. Policy makers should focus on the qualifications of the workers to ensure that workers' skills match future skill requirements. However, we highlight that there remain many open research questions regarding the need for policy responses, the effectiveness of alternative measures, as well as which skills will be required in the near future.
机译:无人驾驶汽车,很大程度上是自动智能工厂,服务机器人或3D打印等数字化和机器人技术领域的最新进展引起了公众的担忧,即技术可能会大规模替代劳动力。在这种背景下,报告回顾了有关技术变革对就业的影响的现有文献,以得出政策含义并确定公开的研究问题。我们强调指出,过去的技术变革在很大程度上影响了就业结构,但对就业水平的影响甚微甚至甚少。特别是,最近的计算机化与例行任务密集的中级技能工作所占份额的下降有关,而从网络上看,它导致了劳动力需求的增加。科学证据进一步表明,在可预见的将来,技术变革将继续在很大程度上影响劳动力需求的结构,而不必改变总的就业人数。正如我们所论证的那样,工作的未来面临的主要挑战在于应对日益加剧的不平等,因为技术变革既创造了赢家,也创造了输家。政策制定者应关注工人的资历,以确保工人的技能符合未来的技能要求。但是,我们强调指出,关于政策响应的需求,替代措施的有效性以及在不久的将来将需要哪些技能,还有许多开放的研究问题。

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