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Sousa, M., Miguel Sousa, Silvana Secinaro & Oppioli, M. (2024). Artificial Intelligence for Decision-Making in Sustainable Innovation in Industry and Research Policy. In Lecture Notes in Networks and Systems. (pp. 195-205).: springer.

M. J. Sousa et al.,  "Artificial Intelligence for Decision-Making in Sustainable Innovation in Industry and Research Policy", in Lecture Notes in Networks and Systems, springer, 2024, pp. 195-205

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	author = "Sousa, M. and Miguel Sousa and Silvana Secinaro and Oppioli, M.",
	title = "Artificial Intelligence for Decision-Making in Sustainable Innovation in Industry and Research Policy",
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	booktitle = "Lecture Notes in Networks and Systems",
	year = "2024",
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	pages = "195-195",
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TI  - Artificial Intelligence for Decision-Making in Sustainable Innovation in Industry and Research Policy
T2  - Lecture Notes in Networks and Systems
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AB  - Home  Proceedings of International Conference on Information Technology and Applications  Conference paper
Artificial Intelligence for Decision-Making in Sustainable Innovation in Industry and Research Policy
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Maria José Sousa, Miguel Sousa, Silvana Secinaro & Michele Oppioli 
Conference paper
First Online: 18 March 2024
Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 839))

Abstract
In recent years, there has been an increased interest in the concept of artificial intelligence in the literature. Moreover, it is now well known that artificial intelligence is crucial for decision-making processes. Hence, there is a need in the literature to understand what technologies and applications of artificial intelligence concerning decision-making processes to bring innovation and sustainability to the industry in research policy. Based on these promises, this analysis identifies which artificial intelligence technologies and their applications in industry and research policy. The methodology used is a literature review to analyze the state-of-the-art literature on this topic to achieve this goal. Furthermore, the Delphi method was used to validate the model. The results attest that this research provides policymakers with the necessary knowledge to help them decide on creating an ethical framework for a more reliable, transparent, and impartial use of artificial intelligence. At the same time, on the industry side, the results show that the potential for new products, services, and processes is very high. Consequently, a reorganization of innovation will likely enable new avenues for research policy.
ER  -