...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Futures >The future of human creative knowledge work within the digital economy
【24h】

The future of human creative knowledge work within the digital economy

机译：数字经济中人类创新知识工作的未来

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Current and near future organizational strategies are placing great emphasis on machines, robots and AI. Automation to reduce menial or repetitive jobs, digitization of work to render remaining workers more efficient and AI to provide more reliable and productive top-end professional work are all inter-related initiatives enacted by current dominant imaginaries of efficiency and maximization. We argue that there is an Ellulian phenomenon of efficient techniques spreading within technical logics that go beyond neo-liberal frontiers namely, algorithmic approaches which attempt to capture and reduce all manners of human knowledge and meaning across the efficient explication, formalization and manipulation of signs. Such purely 'efficient' and analytical approaches fail to recognize the unique and inimitable characteristics of human creativity and its associated tacit knowledge.Inspirations from more holistic interpretations of Jungian symbolism allow us to provide a starting point towards comprehending the complex, ambiguous, constantly emerging and essentially hard-to-define aspects of human creativity and tacit knowledge. This, along with the argument that there exists a relationship between the democratization of knowledge and democratic decisional processes, provides the basis to present an alternative imaginary of efficiency as proposed by Feenberg (1999). Such an imaginary, allows for the democratic participation of humans in the decisional process and development of technology; and also recognizes and enacts humans as full legitimate partners with technology in their mutual shaping capacities thus, leading to human-centric organizations.
机译：当前和不久的将来的组织战略都将重点放在机器，机器人和人工智能上。自动化以减少琐碎的工作或重复性工作，数字化工作以提高剩余工人的工作效率，以及AI提供更可靠和生产性更高的高端专业工作，这些都是当前有关效率和最大化的主流想象力所制定的相互关联的举措。我们认为，有一种埃卢里亚现象，即有效技术在技术逻辑范围内传播，这种现象超出了新自由主义的疆界，即算法方法，试图通过有效的符号说明，形式化和操纵来捕获和减少人类知识和含义的所有方式。这种纯粹的“有效”和分析方法无法认识到人类创造力及其相关的默认知识的独特和独特的特征。从对荣格象征意义的更全面解释中获得的启示使我们能够为理解复杂，模棱两可，不断涌现和本质上是人类创造力和隐性知识难以定义的方面。这与有关知识的民主化与民主决策过程之间存在联系的论点一起，为提出费恩伯格（Feenberg，1999）提出的另一种效率假想提供了基础。这种想象使人类可以民主地参与决策过程和技术的发展；并承认并确立人类作为技术的完全合法伙伴，从而以相互塑造的能力促成以人为中心的组织。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号