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JAMB Reports 192 AI Cheating Cases and 4,251 Finger Blending Incidents

JAMB Reports 192 AI Cheating Cases and 4,251 Finger Blending Incidents

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by Giorgi Kostiuk

a day ago


A recent JAMB meeting highlighted the rise of exam fraud facilitated by technology. Numerous violations were documented during the 2025 examination cycle.

Fraud Figures in UTME 2025

According to a recent report by JAMB, 192 cases of AI-assisted fraud and 4,251 incidents of finger blending have been identified. This highlights the scale of these malicious actions, threatening Nigeria's admission process. Computer-Based Test (CBT) operators have been implicated in these violations.

Issues and Recommendations from JAMB

The report from the Chairman of the Special Committee on Examination Infractions, Dr. Jake Epele, indicates difficulties with legal frameworks hindering prosecution. The committee recommends that JAMB adopt a multi-faceted approach to enhance exam security and properly monitor CBT centers.

Final Positions on Technology and Examinations

JAMB Registrar, Prof. Ishaq Oloyede, mentioned that the shift to technology has made examinations more vulnerable to manipulations. A call has been made for urgent action from stakeholders to ensure the integrity of the admission process.

The current state of examination fraud calls for immediate attention and interventions, as the use of new technology for cheating becomes increasingly prevalent.

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