Exploring Generative Artificial Intelligence: A Taxonomy and Types

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dc.contributor.authorStrobel, Gero
dc.contributor.authorBanh, Leonardo
dc.contributor.authorMöller, Frederik
dc.contributor.authorSchoormann, Thorsten
dc.date.accessioned2023-12-26T18:44:17Z
dc.date.available2023-12-26T18:44:17Z
dc.date.issued2024-01-03
dc.identifier.doi10.24251/HICSS.2024.546
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.otherf87a33f6-4ce4-43b7-a30a-ca732892dfce
dc.identifier.urihttps://hdl.handle.net/10125/106930
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectFederated Industrial Platform Ecosystems: Technologies, Business Models, and Data-Driven Artifacts
dc.subjectgenerative artificial intelligence
dc.subjectllm
dc.subjectmachine learning
dc.subjecttaxonomy
dc.subjecttypology
dc.titleExploring Generative Artificial Intelligence: A Taxonomy and Types
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractGenerative 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.extent10 pages
prism.startingpage4546

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Federated Industrial Platform Ecosystems: Technologies, Business Models, and Data-Driven Artifacts