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All Journal Jurnal Promosi Pendidikan Ekonomi International Journal of Artificial Intelligence Research QALAMUNA: Jurnal Pendidikan, Sosial, dan Agama Syntax Literate: Jurnal Ilmiah Indonesia SEIKO : Journal of Management & Business JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Tekno Kompak Gema Wiralodra Jurnal Informatika dan Rekayasa Elektronik Soedirman Economics Education Journal Jurnal Teknologi Dan Sistem Informasi Bisnis Zonasi: Jurnal Sistem Informasi Jurnal Ilmiah Manajemen Kesatuan Jurnal Ilmiah Akuntansi Kesatuan AMAR (Andalas Management Review) Jurnal Ilmu Manajemen Terapan (JIMT) Jurnal Abdimas Kartika Wijayakusuma Jurnal Impresi Indonesia Journal of Social Research Journal Of World Science International Journal Of Science Education and Technology Management (IJSETM) Jurnal Ekonomi, Teknologi dan Bisnis Enrichment: Journal of Multidisciplinary Research and Development Riwayat: Educational Journal of History and Humanities
Alijoyo, Franciskus Antonius
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Religion Arts Humanities Astronomy Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences Other

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The Role of AI in Risk-Based Decision-Making: A Systematic Review and Future Directions Alijoyo, Franciskus Antonius
Jurnal Ilmiah Manajemen Kesatuan Vol. 14 No. 2 (2026): JIMKES Edisi March 2026
Publisher : LPPM Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jimkes.v14i2.5079

Abstract

This study examines the role of artificial intelligence in enhancing risk-based decision-making across multiple sectors. The rapid adoption of AI has transformed organizational approaches from reactive to proactive risk management; however, gaps remain in governance, ethical readiness, and real-world implementation. Therefore, this study aims to systematically review the application of AI, identify its benefits and challenges, and analyze the relationship between AI capabilities, risk management processes, and decision outcomes. This research employs a systematic review method guided by the PRISMA framework, analyzing recent literature published between 2023 and 2025 from major academic databases. The findings indicate that AI significantly improves predictive accuracy, operational efficiency, and decision quality through advanced data processing techniques such as machine learning and deep learning. AI applications are widely observed in healthcare, finance, and environmental risk management, demonstrating strong performance in prediction and analysis. However, challenges related to data quality, model transparency, ethical risks, and governance limitations persist. This study concludes that AI should be implemented as a socio-technical system supported by robust governance frameworks and human oversight to ensure responsible, transparent, and sustainable risk-based decision-making.
Co-Authors Adhari, Ihsan Ahmad Adithya, Kornelius Anggraeni, Ruri Ashar Ashar Asyhari, Mugia Rochmat B.M.A.S. Anaconda Bangkara Bernadus Gunawan Sudarsono Brigita Meylianti Sulungbudi Damayanto, Antonio Dwi Vernanda Efi Sofiah Faaza, Haseena Khalida Fauziyyah, Ghina Hari Susanto Husna Amin Ignatius Septo Pramesworo Imam Hanafi Juandita, Divana Alifia Judijanto, Loso Makmur, Muhammad Fikri Munawar, Asep Niswan, Ery Nurhidayat, Hikmat Pujiani, Ida Purnama, Ramdhan Purnomo, Sidiq Putra Pratama, Rd Muhammad Sopian Putri, Anggi Yuniar Rosyadi, Iim Imron Ruswandi Saepulloh, Yusep Salim, Asep Yusapra Sembiring, Bayu Bastanta Septeanny, Putrisia Setyananda*, Andre Firza Sugiardi, Sigit Suslinawati Suslinawati, Suslinawati Sutrisna, Eris Talim, Margaretha Banowati Yanti Setianti Yogasara, Yogasara