02706nam a22004217a 4500 6270 6270 00006270 ES-MaONT 20250123012004.0 201208s2020 lu d|||| |||| 00| 0 eng d 978-92-76-22987-2 (PDF) 1831-9424 (online) . doi 10.2760/15025 ES-MaONT Comisión Europea. Centro Común de Investigación 2681 AI watch, assessing technology readiness levels for artificial intelligence / Join Research Centre ; José Hernández-Orallo, Emilia Gómez, Fernando Martínez-Plumed Luxembourg : Publications Office of the European Union, 2020 72 p. : gráf. ; 1 documento PDF texto (visual) isbdcontent electrónico isbdmedia recurso en línea rdacarrier JRC Technical Reports Bibliografía: p. 53-61 This document describes an example-based methodology to categorise and assess several AI technologies, by mapping them onto Technology Readiness Levels (TRL) (e.g., maturity and availability levels). We first interpret the nine TRLs in the context of AI and identify different categories in AI to which they can be assigned. We then introduce new bidimensional plots, called readiness-vs-generality charts, where we see that higher TRLs are achievable for low-generality technologies focusing on narrow or specific abilities, while low TRLs are still out of reach for more general capabilities. We include numerous examples of AI technologies in a variety of fields, and show their readiness-vs-generality charts, serving as a base for a broader discussion of AI technologies. Finally, we use the dynamics of several AI technology at different generality levels and moments of time to forecast some short-term and mid-term trends for AI. Except otherwise noted, the reuse of this document is authorised under the Creative Commons Attribution 4.0 International (CC BY 4.0) licence European Union 4348 Inteligencia Artificial AI IA ai technologies technology assessment research and development Hernández-Orallo, José 4760 Gómez, Emilia 4450 Martínez-Plumed, Fernando 4761 Comisión Europea 999 2965 JRC Technical Reports https://op.europa.eu/en/publication-detail/-/publication/cb8f38a9-3385-11eb-b27b-01aa75ed71a1/language-en?WT.mc_id=Selectedpublications&WT.ria_c=41957&WT.ria_f=5961&WT.ria_ev=search 0 Acceso al documento pdf z INF 0 0 z 0 3 1 01 01 online 2020-12-08 0 1000020176465 2020-12-08 00:00:00 2020-12-08 INF pdf