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dc.contributor.authorFaheem, Shibli Sanjid
dc.contributor.authorShoily, Mahrin Mobassera
dc.contributor.authorIfti, Mostafid
dc.contributor.authorKhan, Mohammad Nahiyat
dc.date.accessioned2026-08-08T06:37:45Z
dc.date.available2026-08-08T06:37:45Z
dc.date.issued2025-11
dc.identifier.isbn978-984-35-5270-9
dc.identifier.otherICEBTM-25-1144
dc.identifier.urihttps://icebtm.iub.edu.bd
dc.identifier.urihttps://ar.iub.edu.bd/handle/11348/1466
dc.description.abstractThis article presents a constitutional and ethical framework for adopting AI-augmented justice systems in rural and marginalized communities with limited access to judicial services. Drawing on the 2021 UNESCO Recommendation on the Ethics of Artificial Intelligence and emerging judicial AI guidelines, the proposed framework addresses statistical uncertainty in algorithmic decision-making through permutation analysis, robust uncertainty quantification, and mandatory human oversight. It incorporates bias mitigation strategies aligned with the NIST AI Risk Management Framework, emphasizing cultural sensitivity, procedural fairness, transparency, accountability, and community trust.en_US
dc.format.extentpp. 400-404
dc.language.isoenen_US
dc.publisherSchool of Business and Entrepreneurship, Independent University, Bangladesh (IUB)en_US
dc.sourceThe Proceedings of the International Conference on Economics, Business and Technology Management (ICEBTM 2025)
dc.subjectAI ethicsen_US
dc.subjectJudicial AIen_US
dc.subjectPermutation analysisen_US
dc.subjectRural justiceen_US
dc.subjectAlgorithmic fairnessen_US
dc.subjectLegal technologyen_US
dc.titleEthical AI Judge for Village: A Humanized Framework and Constitution for Rural Justiceen_US
dc.typeConference paperen_US
dc.identifier.doihttps://doi.org/10.67508/iub.icebtm.2025.062


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