JAMB Panel Uncovers 4,251 Finger Blends, 192 AI-Assisted Cheats In 2025 UTME

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The Joint Admissions and Matriculation Board (JAMB) Special Committee on Examination Infractions (SCEIi) has uncovered widespread technology-driven malpractices undermining Nigeria’s admission process.

Presenting its report to JAMB Registrar, Professor Ishaq Oloyede, in Abuja, Committee Chairman Jake Epelle revealed that investigators documented 4,251 cases of “finger blending” and 192 cases of AI-assisted impersonation through image morphing during the 2025 Unified Tertiary Matriculation Examination (UTME).

The committee also identified 1,878 false disability claims, forged credentials, multiple National Identification Number (NIN) registrations, and collusion between candidates and organised examination syndicates.

Inaugurated on August 18, the panel was tasked with probing rising infractions, reviewing JAMB’s systems, and recommending reforms. Epelle warned that malpractice had become “highly organised, technology-driven, and dangerously normalised,” implicating parents, tutorial centres, schools, and even some CBT operators.

He stressed that weak legal frameworks were hampering enforcement and urged JAMB to adopt stronger measures, including AI-powered biometric anomaly detection, real-time monitoring, and the establishment of a central Examination Security Operations Centre.

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