Tag Archives: jobs

Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks

I am very proud to share the result of a truly interdisciplinary work as part of the HUMAINT project I lead, with Songül Tolan (economist), Annarosa Pesole (social scientist), Fernando Martínez-Plumed (computer scientist), Enrique Fernández-Macías (social scientist), and myself (engineering).


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).

This article appears in the special track on AI and Society.



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Human and Machine Intelligence: a Music Information Retrieval perspective

I had the honor to be invited as keynote speaker at the International Conference on Computational Creativity 2020. The conference took place in a virtual format given the health emergency situation. In my talk, I discussed on the different motivations for music information retrieval, the paradigm shift from knowledge-driven to data-driven systems, the main challenges of this field of research and its impact on society.

It was an interesting experience to give a virtual keynote. First, it was a lot of work to prepare for the keynote, including recording the video properly at home. In addition, I missed the experience of seeing people’s faces and expression when listening to your talk. This visual feedback is really important to see how people react to the different parts of your talk. And I missed the travel and visit to beautiful Coimbra. Virtual events also have positive sides, as the confort of speaking at home, accessibility for anyone in the world to follow on streaming, and all energy saved by people not travelling to sites.

You can watch it in youtube! Any comment or feedback is welcome.

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