On the Current State of Generative Artificial Intelligence: A Conceptual Model of Potentials and Challenges

Christian Daase, Christian Haertel, Abdulrahman Nahhas, Alexander Zeier, Achim Ramesohl, Klaus Turowski

2024

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.

Paper Citation

in Harvard Style

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, SciTePress, pages 845-856. DOI: 10.5220/0012707500003690

in Bibtex Style

@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},
}

in EndNote Style

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
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