ABSTRACT

This paper examines how elite transnational policy and research organizations are framing emergent technologies as a hypermodern risk. It outlines how innovations in artificial intelligence and machine learning are feeding into global policy imaginaries and responses oriented to education and skills as adaption and minimization of potential disruption flowing from unpredictable workforce transitions. Drawing on research reports by the Organization for Economic Cooperation and Development, World Economic Forum, and McKinsey, the paper suggests that this emphasis on risk and uncertainty represents a shift in elite policy discourse. The paper discusses how automated uncertainty is feeding into educational policy trajectories that seek to mitigate disruption through digital learning and work synergies via agile learners of risk. The cognitive structuring of these policy trajectories reflects a closed ideological loop deflecting analysis from political economy and alternative policy futures within hypermodern capitalism.

摘要

本文考察了精英跨国政策和研究组织如何将新兴技术视为超现代风险。它概述了人工智能和机器学习的创新如何融入以教育和技能为导向的全球政策想象和响应，以适应和最小化不可预测的劳动力转型带来的潜在干扰。该论文借鉴了经济合作与发展组织、世界经济论坛和麦肯锡的研究报告，认为这种对风险和不确定性的强调代表了精英政策话语的转变。该论文讨论了自动化的不确定性如何进入教育政策轨迹，这些轨迹旨在通过数字学习和工作协同作用通过敏捷的风险学习者来减轻干扰。