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Artificial Intelligence and the Future of Employment in the World
Abstract
Artificial Intelligence is a representation of technical progress that has two implications for the nature of work. This chapter used a threshold regression model and a mediating regression model to objectively investigate how Artificial Intelligence (AI) advancements have affected the skill structure of employment. New teaching and learning methods created by AI are now being assessed in a variety of settings. AI is having a significant impact on value chains, labor markets, industry, agricultural practices, workplace design, and education. Training and education in vocational and technical fields support employment, respectable work, and lifelong learning—all advantageous to sustainable development. Even though education covers a wide variety of topics, AI is unable to adequately handle them all. Examining competency development through collaboration should be one of them as it is well-known that collaboration is one of the best strategies for enhancing performance outcomes and since competencies are the way a learning activity can be verified as effective.
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