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AI Watch: Methodology to Monitor the Evolution of AI Technologies

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In this report, we present a methodology to assess the evolution of AI technologies in the context of the AI WATCH initiative. The methodology is centred on building the AIcollaboratory, a data-driven framework to collect and explore data about AI results, progress and ultimately capabilities. From the collaborator framework we later extract qualitative information related to the state of the art, challenges and trends of AI research and development. This report first describes the administrative context of study, followed by the proposed methodology to build the AIcollaboratory framework and exploit it for qualitative assessment. In addition, we present some preliminary results of this monitoring process and some conclusions and suggestions for future work. This document is an internal report of the AI WATCH initiative, to be agreed for future work on Task 2 of the administrative arrangement between the Joint Research Centre and DG CNECT.

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  • Fernando Martinez-Plumed & Jose Hernandez-Orallo & Emilia Gomez Gutierrez, 2020. "AI Watch: Methodology to Monitor the Evolution of AI Technologies," JRC Research Reports JRC120090, Joint Research Centre.
    • Handle: RePEc:ipt:iptwpa:jrc120090
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    1. Sofia Samoili & Montserrat Lopez Cobo & Emilia Gomez & Giuditta De Prato & Fernando Martinez-Plumed & Blagoj Delipetrev, 2020. "AI Watch. Defining Artificial Intelligence. Towards an operational definition and taxonomy of artificial intelligence," JRC Research Reports JRC118163, Joint Research Centre.
    2. Virginia Gewin, 2016. "Data sharing: An open mind on open data," Nature, Nature, vol. 529(7584), pages 117-119, January.
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