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The Use of Artificial Intelligence to Enhance Sustainable Development Goals

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13510%2F25%3A43899423" target="_blank" >RIV/44555601:13510/25:43899423 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.taylorfrancis.com/books/edit/10.1201/9781003640776/using-ai-develop-sustainability-strategies-changing-global-economy-senthil-kumar-ankita-chaturvedi-atul-bansal-rohaya-latip" target="_blank" >https://www.taylorfrancis.com/books/edit/10.1201/9781003640776/using-ai-develop-sustainability-strategies-changing-global-economy-senthil-kumar-ankita-chaturvedi-atul-bansal-rohaya-latip</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The Use of Artificial Intelligence to Enhance Sustainable Development Goals

  • Original language description

    The increasing importance of artificial intelligence (AI) in the public sector is evident; however, current research exhibits heterogeneity with thematic and methodological imbalances. In this study, we focus on the readiness of European countries to implement AI in the public sector and its relationship with sustainable development. The conceptual part involves developing a theoretical framework for assessing the readiness of AI implementation, achieved through constructing an Artificial Intelligence Readiness Index (AIR index). Using the AIR index, countries are mapped and grouped using the clustering method. The results show that Northwestern European countries demonstrate higher AIR index levels. The empirical part of the study aims to capture the relationships between the level of AIR index deployment and sustainable development outcomes in European countries. The study confirmed that the AIR index and its components (sub-indices; digital infrastructure, digital government, digital society) are related to sustainable development in general and particular Sustainable Development Goals.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    Using AI to Develop Sustainability Strategies for a Changing Global Economy

  • ISBN

    978-1-03-257279-6

  • Number of pages of the result

    22

  • Pages from-to

    178-200

  • Number of pages of the book

    312

  • Publisher name

    Taylor &amp; Francis Group: Auerbach Publications

  • Place of publication

    New York

  • UT code for WoS chapter