Exploring Generative Artificial Intelligence: A Taxonomy and Types

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dc.contributor.author Strobel, Gero
dc.contributor.author Banh, Leonardo
dc.contributor.author Möller, Frederik
dc.contributor.author Schoormann, Thorsten
dc.date.accessioned 2023-12-26T18:44:17Z
dc.date.available 2023-12-26T18:44:17Z
dc.date.issued 2024-01-03
dc.identifier.isbn 978-0-9981331-7-1
dc.identifier.other f87a33f6-4ce4-43b7-a30a-ca732892dfce
dc.identifier.uri https://hdl.handle.net/10125/106930
dc.language.iso eng
dc.relation.ispartof Proceedings of the 57th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Federated Industrial Platform Ecosystems: Technologies, Business Models, and Data-Driven Artifacts
dc.subject generative artificial intelligence
dc.subject llm
dc.subject machine learning
dc.subject taxonomy
dc.subject typology
dc.title Exploring Generative Artificial Intelligence: A Taxonomy and Types
dc.type Conference Paper
dc.type.dcmi Text
dcterms.abstract Generative Artificial Intelligence (GAI) is a prevalent topic in recent research and business, seemingly taking the position of a disruptive technology that has the potential to significantly transform industries ranging from productivity (e.g., ChatGPT-4) to creativity (e.g., DALL-E). While the emerging scientific discussion on GAI covers a variety of fields and issues, such as privacy, accuracy, and application scenarios, this paper sheds light on the business side of GAI by investigating the morphologic nature of start-ups and incumbents leveraging GAI. Based on the structured analysis of 100 real-world instances, we report on a taxonomy of GAI applications and services that advances our practical understanding, strengthens the distinguishability, as well as adds clarity to the discourse of GAI potentials. We provide an initial framework and five types of GAI, namely Generator, Reimaginator, Synthesizer, Assistant, and Enabler, that are informed by the core characteristics of the technology paradigm.
dcterms.extent 10 pages
prism.startingpage 4546
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Federated Industrial Platform Ecosystems: Technologies, Business Models, and Data-Driven Artifacts