2 research outputs found
Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks
[EN] In this paper we develop a framework for analysing the impact of Artificial Intelligence (AI) on
occupations. This framework maps 59 generic tasks from worker surveys and an occupational
database to 14 cognitive abilities (that we extract from the cognitive science literature) and these
to a comprehensive list of 328 AI benchmarks used to evaluate research intensity across a broad
range of different AI areas. The use of cognitive abilities as an intermediate layer, instead of
mapping work tasks to AI benchmarks directly, allows for an identification of potential AI exposure for tasks for which AI applications have not been explicitly created. An application of
our framework to occupational databases gives insights into the abilities through which AI is
most likely to affect jobs and allows for a ranking of occupations with respect to AI exposure.
Moreover, we show that some jobs that were not known to be affected by previous waves of automation may now be subject to higher AI exposure. Finally, we find that some of the abilities
where AI research is currently very intense are linked to tasks with comparatively limited labour
input in the labour markets of advanced economies (e.g., visual and auditory processing using
deep learning, and sensorimotor interaction through (deep) reinforcement learning).Tolan, S.; Pesole, A.; Martínez-Plumed, F.; Fernández-Macías, E.; Hernández-Orallo, J.; Gómez, E. (2021). Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks. Journal of Artificial Intelligence Research. 71:191-236. https://doi.org/10.1613/jair.1.12647S1912367