利用数字可持续增长模式(DSGM)推动经济增长:将创新的不确定性转化为可扩展的技术

Ahmed Shalaby
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引用次数: 0

摘要

人工智能(AI)的飞速发展,尤其是人工通用智能(AGI)的出现,加剧了人们对人工智能可能掩盖人类自主性和扰乱就业市场的担忧。随着人工智能系统越来越有能力执行传统上由人类处理的任务,迫切需要重新思考教育问题,以确保未来的就业能力。要想在自动化程度越来越高的世界中保持竞争力,重点应转向培养人类独有的技能,如创新和批判性思维。教育系统必须做出调整,强调这些高阶认知技能,并整合数字可持续增长模型(DSGM)等框架。通过将荣格认知功能与创新过程相结合,企业可以开发出可扩展的技术,不仅能推动创新,还能优化人才管理。这种调整可确保人类创新与技术进步齐头并进,从而创建出能够增强创新问题解决能力并最大限度提高团队效率的系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Leveraging the digital sustainable growth model (DSGM) to drive economic growth: Transforming innovation uncertainty into scalable technology
The rapid advancement of artificial intelligence (AI), particularly with the emergence of Artificial General Intelligence (AGI), has intensified concerns about AI potentially overshadowing human autonomy and disrupting job markets. As AI systems become more capable of performing tasks traditionally handled by humans, there is an urgent need to rethink education to ensure future employability. To stay relevant in an increasingly automated world, the focus should shift toward developing uniquely human skills such as innovation and critical thinking. Educational systems must adapt by emphasizing these higher-order cognitive skills and integrating frameworks like the Digital Sustainable Growth Model (DSGM). By aligning Jungian Cognitive Functions with the innovation process, organizations can develop scalable technologies that not only drive innovation but also optimize talent management. This alignment ensures that human innovation and technological advancements progress together, creating systems that enhance innovative problem-solving and maximize team effectiveness.
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