The Prompt-a-thon: Designing a Format for Value Co-Creation with Generative AI for Research and Practice
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2024-01-03
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1586
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Generative artificial intelligence (GenAI) has emerged as a valuable technology for researchers and practitioners to promote innovation, problem-solving, and optimization of everyday tasks and organizational processes. Despite considerable technological hype, notable knowledge deficits exist regarding the exploration and utilization of GenAI to co-create value for exaptation approaches. Limited experience and understanding of these novel artificial intelligence-based information systems hinder their exploitation. To address this, we conducted a design science research (DSR) project to build an artifact that allows researchers and practitioners to facilitate hands-on experience. To this end, we propose a human-AI co-creation format called Prompt-a-thon (PaT), which was applied in five different instances. The results of the format evaluations of these instances show that most participants increased their knowledge regarding GenAI usage while being satisfied with the PaT format. We thus contribute a replicable format enabling value co-creation for research and practice in the highly dynamic field of GenAI.
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Service Science, adoption, artificial intelligence, dsr, generative ai, human-ai collaboration
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10 pages
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Proceedings of the 57th Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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