Logo DOAB
  • Publisher login
    • Support
    • Language 
      • English
      • français
    • Deposit
            View Item 
            •   DOAB Home
            • View Item
            •   DOAB Home
            • View Item
            JavaScript is disabled for your browser. Some features of this site may not work without it.

            Bridging the Gap Between AI and Reality

            First International Conference, AISoLA 2023, Crete, Greece, October 23–28, 2023, Selected Papers

            Thumbnail
            Contributor(s)
            Steffen, Bernhard (editor)
            Language
            English
            Show full item record
            Abstract
            This open access book constitutes revised selected papers from the First International Conference on Bridging the Gap between AI and Reality, AISoLA 2023, which took place in Crete, Greece, in October 2023. The papers included in this book focus on the following topics: The nature of AI-based systems; ethical, economic and legal implications of AI-systems in practice; ways to make controlled use of AI via the various kinds of formal methods-based validation techniques; dedicated applications scenarios which may allow certain levels of assistance; and education in times of deep learning.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/172978
            Keywords
            artificial intelligence; machine learning; natural language processing; industrial applications; deep learning; AI systems; large language models; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYD Systems analysis and design; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
            DOI
            10.1007/978-3-031-73741-1
            ISBN
            9783031737411, 9783031737404
            Publisher
            Springer Nature
            Publisher website
            http://www.springernature.com/oabooks
            Publication date and place
            Cham, 2025
            Imprint
            Springer Nature Switzerland
            Series
            Lecture Notes in Computer Science,
            Pages
            472
            • OAPEN harvesting collection

            Browse

            All of DOABSubjectsPublishersLanguagesCollections

            My Account

            LoginRegister

            Export

            Repository metadata
            Doabooks

            • For Researchers
            • For Librarians
            • For Publishers
            • Our Supporters
            • Resources
            • DOAB

            Newsletter


            • subscribe to our newsletter
            • view our news archive

            Follow us on

            • Twitter

            License

            • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

            donate


            • Donate
              Support DOAB and the OAPEN Library

            Credits


            • logo Investir l'avenirInvestir l'avenir
            • logo MESRIMESRI
            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

            Directory of Open Access Books is a joint service of OAPEN, OpenEdition, CNRS and Aix-Marseille Université, provided by DOAB Foundation.

            Websites:

            DOAB
            www.doabooks.org

            OAPEN Home
            www.oapen.org

            OAPEN OA Books Toolkit
            www.oabooks-toolkit.org

            Export search results

            The export option will allow you to export the current search results of the entered query to a file. Differen formats are available for download. To export the items, click on the button corresponding with the preferred download format.

            A logged-in user can export up to 15000 items. If you're not logged in, you can export no more than 500 items.

            To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

            After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.