Exploring the Potential and Limitations of Artificial Intelligence and Machine Learning in Improving Decision-Making Processes in Various Industries
Adeleye Dupe Ayesha,
Prof. Abd. Rahman Ahlan,
Dr. Najhan Muhamad Ibrahim,
Bello Bariz Holaitan,
Yusuf Abdulkadir,
Alijafar Umar and
Abdulrahman Usman Liman
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Adeleye Dupe Ayesha: International Islamic University, Malaysia
Prof. Abd. Rahman Ahlan: International Islamic University, Malaysia
Dr. Najhan Muhamad Ibrahim: International Islamic University, Malaysia
Bello Bariz Holaitan: International Islamic University, Malaysia
Yusuf Abdulkadir: International Islamic University, Malaysia
Alijafar Umar: International Islamic University, Malaysia
Abdulrahman Usman Liman: International Islamic University, Malaysia
International Journal of Research and Innovation in Applied Science, 2025, vol. 10, issue 7, 1425-1430
Abstract:
The study assesses the application of AI and ML in decision-making across four sectors: healthcare, banking, manufacturing, and retail. To measure the utilization in actual situations, the form of a mixed method unites expert interviews and questionnaires with simulated case studies. AI and ML serve to improve the accuracy of predictions, automate routine tasks, and customize processes. But there are issues with providing assurance information is unbiased and with model transparency and ethics concerns. Towards this end, the study advocates for implementing industry-specific regulations and human-machine collaboration in realizing optimal benefits optimally in a fair manner while limiting associated risks. Thus, the analysis’ top priority is still in adopting responsible and ethical approaches under each sector’s framework.
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:bjf:journl:v:10:y:2025:i:7:p:1425-1430
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