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The book introduces a framework for understanding the impact of machine learning on labor markets and education, distinguishing between learning and knowing. It argues that learning is time-dependent and requires agency, leading to new forms of artificial intelligence that could disrupt labor dynamics. Key concepts include comparative learning advantages between humans and machines, two dimensions of job performance (expertise vs. interpersonal tasks), and the "Learning Game," a mathematical model for assessing these advantages. The interdisciplinary approach offers insights and recommendations for education and labor policies in the evolving job landscape.
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Understanding the Impact of Machine Learning on Labor and Education, Joseph Ganem
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- Année de publication
- 2023
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