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Home » 2025 UTME: JAMB Uncovers Over 4,000 Cases Of ‘Finger Blending’, AI-Assisted Exam Fraud
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2025 UTME: JAMB Uncovers Over 4,000 Cases Of ‘Finger Blending’, AI-Assisted Exam Fraud

naijabrainBy naijabrainSeptember 8, 20252 Mins Read
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The Joint Admissions and Matriculation Board (JAMB) has received the report of its Special Committee on Examination Infractions (SCEIi), revealing shocking levels of technology-driven malpractice undermining Nigeria’s admission process.

Presenting the report in Abuja to JAMB Registrar Professor Ishaq Oloyede, the committee chairman, Jake Epelle, stated that investigations into the 2025 Unified Tertiary Matriculation Examination (UTME) had uncovered 4,251 cases of finger blending and 192 instances of AI-assisted impersonation using image morphing.

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

Epelle lamented that examination malpractice in Nigeria has become highly organised, technology-driven, and dangerously normalised.

He said the fraud involved multiple actors, including parents, tutorial centres, schools, and even some CBT operators, while weak legal frameworks made enforcement challenging.

Naijabrain understands that the special committee, inaugurated on August 18, was tasked with probing rising infractions, reviewing JAMB’s systems, and recommending reforms to safeguard the integrity of examinations.

Epelle said the scale of infractions showed that “malpractice has moved far beyond isolated cheating to a well-coordinated criminal enterprise.”

To curb the menace, the committee urged JAMB to adopt a multi-pronged response, including the deployment of AI-powered biometric anomaly detection tools, real-time monitoring systems during examinations, and the establishment of a central Examination Security Operations Centre (ESOC).

According to the report, such measures would significantly strengthen JAMB’s ability to detect and deter sophisticated fraud.

2025 UTME AI-Assisted Exam Fraud Finger Blending News
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