Between Enablement and Control – Generative Artificial Intelligence-based Systems Development

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2025-01-07

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5534

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Abstract

The proliferation of generative artificial intelligence (GenAI)-based systems with embedded large language models (LLM) has raised the interest of organizations in leveraging their potential to enhance work performance. However, for GenAI systems, the focus of systems development should extend beyond the artifact to managing the human-AI interaction. Through an exploratory case study of three GenAI systems development projects in a large enterprise we find that GenAI systems are shaped through an interplay of enablement and control of the user-AI interaction. We explain how these mechanisms practically unfold for systems supporting broad versus narrow user intents. Our findings demonstrate that through enablement the divergent nature of GenAI systems can be strengthened, while control ensures their convergence with requirements in the organizational context. With this we contribute to the understanding of how to develop GenAI systems that support the work in organizations.

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AI, Organizing, and Management, case study, genai systems development, human-ai collaboration, user-ai interaction

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10

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Proceedings of the 58th Hawaii International Conference on System Sciences

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Attribution-NonCommercial-NoDerivatives 4.0 International

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