DATASET

Selected AI Breakthroughs for the AI Watch Timeline

Collection: AI-WATCH : EU Artificial Intelligence Observatory 

Description

This dataset contains important AI breakthroughs that have been used for visualising the AI history as a timeline on the AI Watch portal (see the "Other resources" section below). We have classified the breakthroughs according to the domains identified in the technical report "Defining Artificial Intelligence" (see the publications section). Our selection has been inspired by sources available online (see the relevant list in the "Other resources" section). We invite the public to download this dataset, use it and share with us any idea for improvement using the "Selected AI Breakthroughs for the AI Watch Timeline - Feedback" survey available in the "Other resources" section.

Contact

Email
EC-AI-WATCH (at) ec.europa.eu

Contributors

How to cite

Tsinaraki, Chrysi; Martinez Plumed, Fernando; Gomez Gutierrez, Emilia; Delipetrev, Blagoj; Dalla Benetta, Alessandro (2020): Selected AI Breakthroughs for the AI Watch Timeline. European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/76625e38-36a1-417f-b28f-b3380376643e

Keywords

AI Artificial Intelligence History

Data access

Selected AI Breakthroughs for the AI Watch Timeline - version 1.0
Download 
  • Selected AI Breakthroughs for the AI Watch Timeline in csv format

AI History Timeline @ AI Watch portal
URL 
  • Visualisation of the AI history as a timeline of selected AI breakthroughs, published on the AI Watch portal.

Sources for the Selected AI Breakthroughs for the AI Watch Timeline
URL 
  • Sources that inspired the Selected AI Breakthroughs for the AI Watch Timeline dataset

Selected AI Breakthroughs for the AI Watch Timeline - Feedback
URL 
  • Feedback provision to the "Selected AI Breakthroughs for the AI Watch Timeline" dataset

Publications

Publication
Historical Evolution of Artificial Intelligence
Publication
AI WATCH. Defining Artificial Intelligence
Samoili, S., Lopez Cobo, M., Gomez Gutierrez, E., De Prato, G., Martinez-Plumed, F. and Delipetrev, B., AI WATCH. Defining Artificial Intelligence, EUR 30117 EN, Publications Office of the European Union, Luxembourg, 2020, ISBN 978-92-76-17045-7 (online), doi:10.2760/382730 (online), JRC118163.
  • Publications Office of the European Union, Luxembourg, Luxembourg
Publication page 
  • Abstract

    This report proposes an operational definition of artificial intelligence to be adopted in the context of AI Watch, the Commission knowledge service to monitor the development, uptake and impact of artificial intelligence for Europe. The definition, which will be used as a basis for the AI Watch monitoring activity, is established by means of a flexible scientific methodology that allows regular revision. The operational definition is constituted by a concise taxonomy and a list of keywords that characterise the core domains of the AI research field, and transversal topics such as applications of the former or ethical and philosophical considerations, in line with the wider monitoring objective of AI Watch. The AI taxonomy is designed to inform the AI landscape analysis and will expectedly detect AI applications in neighbour technological domains such as robotics (in a broader sense), neuroscience or internet of things. The starting point to develop the operational definition is the definition of AI adopted by the High Level Expert Group on artificial intelligence. To derive this operational definition we have followed a mixed methodology. On one hand, we apply natural language processing methods to a large set of AI literature. On the other hand, we carry out a qualitative analysis on 55 key documents including artificial intelligence definitions from three complementary perspectives: policy, research and industry. A valuable contribution of this work is the collection of definitions developed between 1955 and 2019, and the summarisation of the main features of the concept of artificial intelligence as reflected in the relevant literature.

Additional information

Published by
European Commission, Joint Research Centre
Created date
2020-03-26
Modified date
2021-03-26
Issued date
2020-03-26
Language(s)
English
Data theme(s)
Science and technology
Update frequency
irregular
Identifier
http://data.europa.eu/89h/76625e38-36a1-417f-b28f-b3380376643e
Popularity