A multidisciplinary task-based perspective for evaluating the impact of AI autonomy and generality on the future of work
It addresses the need for a framework to understand how AI affects work dynamics, but appears incremental as it builds on existing perspectives without introducing new methods or data.
The paper tackles the problem of assessing AI's impact on the future of work by proposing a multidisciplinary task-based approach that integrates socio-economic and computational perspectives, with a focus on AI autonomy and generality, but does not report concrete results or numbers.
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.