关于人工智能对未来工作岗位的影响要求有摘要和不下十个参考文献总字数超过一万字
摘要:
人工智能(AI)作为一种新兴技术,正在迅速地改变着我们的世界。无论是在生活中还是在工作中,它都在发挥着越来越重要的作用。尤其是在未来的工作岗位中,它将会对人类的工作方式、工作内容、工作环境等方面产生深远的影响。本文通过对相关文献的综合分析,探讨了人工智能对未来工作岗位的影响,包括:改变了工作的性质、增加了就业机会、导致一些职业的消失和新职业的出现、提高了工作效率和生产力等方面。同时,也分析了在应对人工智能对未来工作岗位的影响方面,我们应该采取的措施,包括加强人工智能教育、发展新的职业、提高员工的技能和素质等方面。
参考文献:
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Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. WW Norton & Company.
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Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation?. Technological forecasting and social change, 114, 254-280.
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Arntz, M., Gregory, T., & Zierahn, U. (2016). The risk of automation for jobs in OECD countries: A comparative analysis. OECD Social, Employment and Migration Working Papers, (189), 1-57.
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Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3), 3-30.
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Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., & Byers, A. H. (2017). Jobs lost, jobs gained: What the future of work will mean for jobs, skills, and wages. McKinsey Global Institute.
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van der Aalst, W. M. (2016). The rise of process-aware information systems: Bridging people and software through process technology. Springer.
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Davenport, T. H., & Kirby, J. (2015). Beyond automation: Strategies for remaining gainfully employed in an era of very smart machines. Harvard Business Review, 93(6), 58-65.
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Aral, S., Brynjolfsson, E., & Wu, L. (2012). Three-way complementarities: Performance pay, human resource analytics, and information technology. Management Science, 58(5), 913-931.
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Brynjolfsson, E., & Mitchell, T. (2017). What can machine learning do? Workforce implications. Science, 358(6370), 1530-1534.
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Manyika, J., Lund, S., Chui, M., Bughin, J., Woetzel, J., Batra, P., & Sanghvi, S. (2016). Digital America: A tale of the haves and have-mores. McKinsey Global Institute
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