Generative AI for decision-making: A multidisciplinary perspective
Generative artificial intelligence (GenAI) is rapidly reshaping decision-making across multiple domains, including health, law, business, education, and tourism. This study synthesizes the fragmented research on GenAI to provide a comprehensive framework for understanding its role in enhancing decis...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-07-01
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| Series: | Journal of Innovation & Knowledge |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2444569X25000964 |
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| _version_ | 1849471332151984128 |
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| author | Mousa Albashrawi |
| author_facet | Mousa Albashrawi |
| author_sort | Mousa Albashrawi |
| collection | DOAJ |
| description | Generative artificial intelligence (GenAI) is rapidly reshaping decision-making across multiple domains, including health, law, business, education, and tourism. This study synthesizes the fragmented research on GenAI to provide a comprehensive framework for understanding its role in enhancing decision-making accuracy, efficiency, and personalization. Employing a systematic literature review and thematic analysis, this study categorizes diverse applications, from clinical diagnostics and legal reasoning to financial advisement and educational support, highlighting both innovative practices and persistent challenges. The analysis of 101 articles reveals that, while GenAI significantly improves data processing and decision support, mitigating issues such as inherent bias, misinformation, and transparency deficits requires careful attention. The integration of multi-agent frameworks and human oversight is critical for ensuring ethical and reliable outcomes. Ultimately, this synthesis highlights the transformative potential of GenAI as a decision-making tool by presenting a cross-disciplinary framework that reveals its impact and uncovers gaps across various domains. The study also advocates the development of robust regulatory and technological strategies to harness the benefits and address the limitations of GenAI. |
| format | Article |
| id | doaj-art-f773d34d429e4f5ea38da8afc7cd734b |
| institution | Kabale University |
| issn | 2444-569X |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Innovation & Knowledge |
| spelling | doaj-art-f773d34d429e4f5ea38da8afc7cd734b2025-08-20T03:24:52ZengElsevierJournal of Innovation & Knowledge2444-569X2025-07-0110410075110.1016/j.jik.2025.100751Generative AI for decision-making: A multidisciplinary perspectiveMousa Albashrawi0IRC for Finance and Digital Economy, KFUPM, Saudi Arabia; Information Systems & Operations Management Department, KFUPM, Saudi Arabia; Correspondence to. IRC for Finance and Digital Economy, KFUPM, Saudi Arabia.Generative artificial intelligence (GenAI) is rapidly reshaping decision-making across multiple domains, including health, law, business, education, and tourism. This study synthesizes the fragmented research on GenAI to provide a comprehensive framework for understanding its role in enhancing decision-making accuracy, efficiency, and personalization. Employing a systematic literature review and thematic analysis, this study categorizes diverse applications, from clinical diagnostics and legal reasoning to financial advisement and educational support, highlighting both innovative practices and persistent challenges. The analysis of 101 articles reveals that, while GenAI significantly improves data processing and decision support, mitigating issues such as inherent bias, misinformation, and transparency deficits requires careful attention. The integration of multi-agent frameworks and human oversight is critical for ensuring ethical and reliable outcomes. Ultimately, this synthesis highlights the transformative potential of GenAI as a decision-making tool by presenting a cross-disciplinary framework that reveals its impact and uncovers gaps across various domains. The study also advocates the development of robust regulatory and technological strategies to harness the benefits and address the limitations of GenAI.http://www.sciencedirect.com/science/article/pii/S2444569X25000964M0M1O3O4 |
| spellingShingle | Mousa Albashrawi Generative AI for decision-making: A multidisciplinary perspective Journal of Innovation & Knowledge M0 M1 O3 O4 |
| title | Generative AI for decision-making: A multidisciplinary perspective |
| title_full | Generative AI for decision-making: A multidisciplinary perspective |
| title_fullStr | Generative AI for decision-making: A multidisciplinary perspective |
| title_full_unstemmed | Generative AI for decision-making: A multidisciplinary perspective |
| title_short | Generative AI for decision-making: A multidisciplinary perspective |
| title_sort | generative ai for decision making a multidisciplinary perspective |
| topic | M0 M1 O3 O4 |
| url | http://www.sciencedirect.com/science/article/pii/S2444569X25000964 |
| work_keys_str_mv | AT mousaalbashrawi generativeaifordecisionmakingamultidisciplinaryperspective |