一个多学科的基于任务的视角，用于评估AI自主性和通用性对未来工作的影响
A multidisciplinary task-based perspective for evaluating the impact of AI autonomy and generality on the future of work
摘要：
本文提出了一种多学科的任务方法，用于评估人工智能对未来工作的影响。我们从两个主要角度提供任务的定义：社会经济和计算。我们建议探索如何整合或映射这些观点，并将它们与人类和人工智能系统所需的技能或能力联系起来。最后，我们认为，为了理解任务的动态，我们必须探索人工智能系统的自主性和通用性与工作场所自动化或改变的相关性。
英文摘要：
This paper presents a multidisciplinary task approach for assessing the impact of artificial intelligence on the future of work. We provide definitions of a task from two main perspectives: socio-economic and computational. We propose to explore ways in which we can integrate or map these perspectives, and link them with the skills or capabilities required by them, for humans and AI systems. Finally, we argue that in order to understand the dynamics of tasks, we have to explore the relevance of autonomy and generality of AI systems for the automation or alteration of the workplace.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
