loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Christian Daase 1 ; Christian Haertel 1 ; Abdulrahman Nahhas 1 ; Alexander Zeier 1 ; Achim Ramesohl 2 and Klaus Turowski 1

Affiliations: 1 Institute of Technical and Business Information Systems, Otto-von-Guericke University, Magdeburg, Germany ; 2 Google Cloud, Germany

Keyword(s): Generative AI, Artificial Intelligence, Conceptual Model, Systematic Literature Review.

Abstract: Generative artificial intelligence (GenAI) is one of the most promising recent advances in digital technology. However, research often focuses on specific application scenarios, case studies and experiments. Overarching and comprehensive studies that consider potentials and challenges for the entire field of GenAI across domains are rather scarce. In this paper, the four domains of text, audio, image and code generation are examined by means of a systematic literature review. Opportunities for industry and society are discussed, with the aim of providing a conceptual model that enables a quick assessment of the current state-of-the-art and identifies applications for GenAI that are either not yet sufficiently researched and therefore invite further exploratory investigations, or are well researched and therefore represent recognized yet less experimental fields.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.16.203.149

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Daase, C.; Haertel, C.; Nahhas, A.; Zeier, A.; Ramesohl, A. and Turowski, K. (2024). On the Current State of Generative Artificial Intelligence: A Conceptual Model of Potentials and Challenges. In Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-692-7; ISSN 2184-4992, SciTePress, pages 845-856. DOI: 10.5220/0012707500003690

@conference{iceis24,
author={Christian Daase. and Christian Haertel. and Abdulrahman Nahhas. and Alexander Zeier. and Achim Ramesohl. and Klaus Turowski.},
title={On the Current State of Generative Artificial Intelligence: A Conceptual Model of Potentials and Challenges},
booktitle={Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2024},
pages={845-856},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012707500003690},
isbn={978-989-758-692-7},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - On the Current State of Generative Artificial Intelligence: A Conceptual Model of Potentials and Challenges
SN - 978-989-758-692-7
IS - 2184-4992
AU - Daase, C.
AU - Haertel, C.
AU - Nahhas, A.
AU - Zeier, A.
AU - Ramesohl, A.
AU - Turowski, K.
PY - 2024
SP - 845
EP - 856
DO - 10.5220/0012707500003690
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic