Does AI Qualify for the Job?

Fernando Martínez-Plumed, Songül Tolan, Annarosa Pesole, José Hernández-Orallo, Enrique Fernández-Macías, Emilia Gómez
2020 Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society  
In this paper we present a setting for examining the relation between the distribution of research intensity in AI research and the relevance for a range of work tasks (and occupations) in current and simulated scenarios. We perform a mapping between labour and AI using a set of cognitive abilities as an intermediate layer. This setting favours a two-way interpretation to analyse (1) what impact current or simulated AI research activity has or would have on labour-related tasks and occupations,
more » ... and ( 2 ) what areas of AI research activity would be responsible for a desired or undesired effect on specific labour tasks and occupations. Concretely, in our analysis we map 59 generic labour-related tasks from several worker surveys and databases to 14 cognitive abilities from the cognitive science literature, and these to a comprehensive list of 328 AI benchmarks used to evaluate progress in AI techniques. We provide this model and its implementation as a tool for simulations. We also show the effectiveness of our setting with some illustrative examples.
doi:10.1145/3375627.3375831 dblp:conf/aies/Martinez-Plumed20 fatcat:s5524v44cralbikak7at3hfbay