AI and the Future of Skills, Volume 1

Capabilities and Assessments

image of AI and the Future of Skills, Volume 1

Artificial intelligence (AI) and robotics are major breakthrough technologies that are transforming the economy and society. The OECD’s Artificial Intelligence and the Future of Skills (AIFS) project is developing a programme to assess the capabilities of AI and robotics, and their impact on education and work.

This volume reports on the first step of the project: identifying which capabilities to assess and which tests to use in the assessment. It builds on an online expert workshop that explored this question from the perspectives of both psychology and computer science. The volume consists of expert contributions that review skills taxonomies and tests in different domains of psychology, and efforts in computer science to assess AI and robotics. It provides extensive discussion on the strengths and weaknesses of different approaches, and outlines directions for the project. The report can therefore be a resource for the research community of multiple fields and policy makers who wish to obtain deeper insight into the complexity of machine capabilities.


An occupational taxonomic approach to assessing AI capabilities

This chapter proposes an approach for comparing capabilities of human and artificial intelligence (AI) based on comprehensive occupational taxonomies. After a summary of general methodological recommendations, it describes four major steps of the proposed approach. As the first step, it discusses the identification of an occupational taxonomy and its requirements. Second, it proposes a strategy for sampling occupations from the taxonomy. Third, it provides guidance on collecting expert judgement on AI capabilities with regard to the selected occupations. Fourth, it considers the implications of data analysis from expert interviews.


This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error