Abstract
This paper explores the integration of Artificial Intelligence (AI) into the Questions Options Criteria (QOC) process, enhancing decision making through different levels of AI integration. It elaborates on AI’s role from providing support with insights and suggestions, acting as an additional participant in decision making, to fully autonomously generating and evaluating decision contexts by a network of AI based agents. By integrating AI across these levels, the framework is expanded and offers a traceable AI-enhanced decision making process. The paper discusses three different approaches to integrating AI into the QOC process, where AI is either a supporting element for the participant, AI is a participant in the decision making process, and a fully automated QOC analysis by AI. This progression in understandable and verifiable AI participation marks an advancement in decision support systems, illustrating the potential for sophisticated AI integration in complex decision making processes.
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Schmidt, L., Pehlke, M., Jansen, M. (2024). AI-Enhanced QOC-Analysis: A Framework for Transparent and Insightful Decision-Making. In: Camarinha-Matos, L.M., Ortiz, A., Boucher, X., Barthe-Delanoë, AM. (eds) Navigating Unpredictability: Collaborative Networks in Non-linear Worlds. PRO-VE 2024. IFIP Advances in Information and Communication Technology, vol 726. Springer, Cham. https://doi.org/10.1007/978-3-031-71739-0_27
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DOI: https://doi.org/10.1007/978-3-031-71739-0_27
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