AI, Data, and Digitalization : First International Symposium, SAIDD 2023, Sogndal, Norway, May 9–10, 2023, Revised Selected Papers

doi:10.1007/978-3-031-53770-7

Contributor(s)

Akerkar, Rajendra (editor)

Language

English

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Abstract

This open access book constitutes the revised selected papers of the First International Symposium on AI, Data and Digitalization, SAIDD 2023, held in Sogndal, Norway, during May 9–10, 2023. The 13 full papers included in this volume were carefully reviewed and selected from 42 submissions. The papers deal with the impact of data and AI on the digital revolution and their contribution to solving societal challenges.

URI

https://doab-dev.siscern.org/handle/20.500.12854/189976

Keywords

data; big data; artificial intelligence; ethical AI; causal effects; mobile data; geolocation data; social data; machine learning; knowledge graphs; thema EDItEUR::U Computing and Information Technology::UK Computer hardware; thema EDItEUR::U Computing and Information Technology::UK Computer hardware::UKN Network hardware; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYD Systems analysis and design; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPF Information theory; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPJ Coding theory and cryptology

DOI

10.1007/978-3-031-53770-7

ISBN

9783031537707, 9783031537691

Publisher

Springer Nature

Publisher website

http://www.springernature.com/oabooks

Publication date and place

Cham, 2024

Imprint

Springer Nature Switzerland

Series

Communications in Computer and Information Science,