Generative AI

Business & Information Systems Engineering

28 Pages Posted: 22 May 2023 Last revised: 7 Aug 2023

See all articles by Stefan Feuerriegel

Stefan Feuerriegel

LMU Munich

Jochen Hartmann

TUM School of Management,Technical University of Munich

Christian Janiesch

Technical University of Dortmund

Patrick Zschech

Leipzig University

Date Written: May 9, 2023

Abstract

The term "generative AI'' refers to computational techniques that are capable of generating seemingly new, meaningful content such as text, images, or audio from training data. The widespread diffusion of this technology with examples such as Dall-E 2, GPT-4, and Copilot is currently revolutionizing the way we work and communicate with each other. In this article, we provide a conceptualization of generative AI as an entity in socio-technical systems and provide examples of models, systems, and applications. Based on that, we introduce limitations of current generative AI and provide an agenda for Business & Information Systems Engineering (BISE) research. Different from previous works, we focus on generative AI in the context of information systems, and, to this end, we discuss several opportunities and challenges that are unique to the BISE community and make suggestions for impactful directions for BISE research.

Keywords: Generative AI; Artificial intelligence; Decision support; Content creation; Information systems

Suggested Citation

Feuerriegel, Stefan and Hartmann, Jochen and Janiesch, Christian and Zschech, Patrick, Generative AI (May 9, 2023). Business & Information Systems Engineering, Available at SSRN: https://ssrn.com/abstract=4443189 or http://dx.doi.org/10.2139/ssrn.4443189

Stefan Feuerriegel (Contact Author)

LMU Munich ( email )

Geschwister-Scholl-Platz 1
Munich, 80539
Germany

HOME PAGE: http://www.ai.bwl.lmu.de

Jochen Hartmann

TUM School of Management,Technical University of Munich ( email )

Arcisstrasse 21
Munchen, 80333
Germany

Christian Janiesch

Technical University of Dortmund ( email )

Friedrich-Wöhler-Weg 6
Dortmund, 44227
Germany

HOME PAGE: http://ec.cs.tu-dortmund.de

Patrick Zschech

Leipzig University ( email )

Leipzig
Germany

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