IDEAS home Printed from https://ideas.repec.org/p/ipt/iptwpa/jrc126426.html
   My bibliography  Save this paper

AI Watch. Defining Artificial Intelligence 2.0. Towards an operational definition and taxonomy of AI for the AI landscape

Author

Listed:

Abstract

We present here the second edition of our research aimed at establishing an operational definition of artificial intelligence (AI), to which we refer to in the activities of AI Watch. This edition builds on the first report, published in February 2020, and complements it with several recent developments. Since then, the European Commission has proposed a regulatory framework on artificial intelligence (AI Act) that establishes a legal definition of AI, which we incorporate in the current review. In addition to this legal definition, an operational definition is still needed to better delineate the boundaries and analysis of the AI Watch AI landscape. The proposed AI Watch operational definition consists of an iterative method providing a concise taxonomy and list of keywords that characterise the core domains of the AI research field, complemented by transversal topics such as AI applications or ethical and philosophical considerations - in line with the wider monitoring objective of AI Watch. The AI taxonomy is designed to inform the AI Watch AI landscape analysis and is also expected to cover applications of AI in closely related technological domains, such as robotics (in a broader sense), neuroscience or internet of things. The literature considered for the qualitative analysis of existing definitions and taxonomies has been enlarged to include recently published reports from the three complementary perspectives considered in this work: policy, research and industry. Therefore, the collection of definitions published between 1955 and 2021 and the summary of the main features of the concept of AI appearing in the relevant literature is another valuable output of this work. Finally, alternative approaches to study AI are also briefly presented in this new edition of the report. These include the classification of AI according to: families of algorithms and the theoretical models behind them; cognitive abilities reproduced by AI; functions performed by AI. Applications of AI may be grouped also according to other dimensions, like the economic sector in which such applications are found, or their business functions. These approaches, complementary to the taxonomy used for the analysis of the AI Watch international landscape, are useful to gain a wider understanding of the AI domain, and suitable to be used in studies related to these dimensions.

Suggested Citation

  • Sofia Samoili & Montserrat Lopez Cobo & Blagoj Delipetrev & Fernando Martinez-Plumed & Emilia Gomez & Giuditta De Prato, 2021. "AI Watch. Defining Artificial Intelligence 2.0. Towards an operational definition and taxonomy of AI for the AI landscape," JRC Research Reports JRC126426, Joint Research Centre.
  • Handle: RePEc:ipt:iptwpa:jrc126426
    as

    Download full text from publisher

    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC126426
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    artificial intelligence; ai watch; ai definition; ai taxonomy; ai keywords;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ipt:iptwpa:jrc126426. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Publication Officer (email available below). General contact details of provider: https://edirc.repec.org/data/ipjrces.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.