Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/34720
Author(s): | Rosa, T. Pereira, L. Crespo de Carvalho, J. Vinhas da Silva, R. Simões, A. |
Date: | 2025 |
Title: | From risk to reward: AI’s role in shaping tomorrow’s economy and society |
Journal title: | AI and Society |
Volume: | N/A |
Reference: | Rosa, T., Pereira, L., Crespo de Carvalho, J., Vinhas da Silva, R., & Simões, A. (2025). From risk to reward: AI’s role in shaping tomorrow’s economy and society. AI and Society. https://doi.org/10.1007/s00146-025-02428-1 |
ISSN: | 0951-5666 |
DOI (Digital Object Identifier): | 10.1007/s00146-025-02428-1 |
Keywords: | Artificial intelligence Digital transformation Social impact Management Economy |
Abstract: | This study investigates the impact of Artificial Intelligence (AI) on society, business, and management, using a qualitative approach centered on the analysis of interviews and a review of literature. Text mining techniques were applied through the KH Coder tool, allowing for a detailed exploration of how AI is transforming these three dimensions. The results reveal significant changes in management practices, deep economic impacts, and relevant social changes brought about by the rapid adoption of AI. The originality of this study lies in the combination of qualitative analysis with the exploration of textual data, providing a comprehensive view of the ethical and practical implications of AI. It also acknowledges limitations, such as the rapid pace of technological development and the potential bias in the perceptions collected. This work contributes to a better understanding of the challenges and opportunities presented by AI, and suggests pathways for ethical and effective integration. |
Peerreviewed: | yes |
Access type: | Open Access |
Appears in Collections: | BRU-RI - Artigos em revistas científicas internacionais com arbitragem científica DMOG-RI - Artigos em revistas internacionais com arbitragem científica |
Files in This Item:
File | Size | Format | |
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article_111873.pdf | 1,83 MB | Adobe PDF | View/Open |
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