JAMB Arrests for AI-Powered UTME Fraud
Analysis based on 8 articles · First reported Apr 18, 2026 · Last updated Apr 18, 2026
The arrests by the Nigeria===Joint Admissions and Matriculation Board for examination fraud using Artificial intelligence tools highlight a negative impact on the credibility of Nigeria's education system. This could lead to increased scrutiny and potentially new regulatory measures in the education technology sector.
The Nigeria===Joint Admissions and Matriculation Board (JAMB) has arrested two candidates and one parent for allegedly falsifying 2026 Unified Tertiary Matriculation Examination (UTME) results using Artificial intelligence and other electronic tools. The suspects manipulated official SMS result notifications to fabricate or inflate scores, intending to deceive institutions, parents, and guardians. JAMB spokesperson Fabian Benjamin announced the arrests while releasing scores for 632,788 candidates. The board described the act as a serious criminal offense and vowed to prosecute all involved. This incident highlights growing concerns over the misuse of emerging technologies in examination malpractice in Nigeria, prompting enhanced digital verification measures. JAMB reiterated its commitment to maintaining transparency and fairness in public examinations. Separately, Emmanuel Akataka, a suspected examination fraudster, was re-arrested for continuing fraudulent activities, and Ibrahim Abdulaziz was sentenced to prison for impersonation in a previous UTME.
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