WAEC identified AI-generated exam answers - verbatim chatbot disclaimers copied into WASSCE 2023 scripts - at 235 schools, withholding results while offering candidates a defence process, in the exam body's first documented AI-cheating case.
235 schools
Schools with detected AI-generated answers (August 2023 WASSCE)
Details
Promoter
West African Examinations Council (WAEC), Ghana
Period
August-December 2023
Keywords
secondary education, national examinations, academic integrity, AI-misuse detection
Context
During marking of the August 2023 West African Senior School Certificate Examination (WASSCE) in Ghana, examiners for the West African Examinations Council (WAEC) noticed candidates at 235 schools submitting answers copied verbatim from AI chatbots, including chatbot disclaimer phrases rather than answers to the printed questions.
Objectives
Detect and respond to AI-assisted cheating in a national school-leaving exam, and reinforce existing rules against unauthorised devices in exam halls.
Activities
WAEC withheld affected candidates' results pending investigation, notified them by SMS or newspaper publication, and offered a hearing before a committee of examiners before deciding to release or cancel results; it also monitored websites publishing leaked exam questions.
Results
Results for implicated candidates were withheld or cancelled following the review process; WAEC said it would work with the Ghana Education Service to tighten enforcement of the existing mobile-phone ban rather than deploy new detection technology.
Conclusions
This is a reactive, enforcement-only response with no independent verification of the detection method's false-positive rate and no published data on how many candidates were ultimately cleared versus cancelled.
Implementation
Indicative cost
Low (< €50k)
Time to results
Short (< 1 year)
Staffing & skills
WAEC examiners conducting manual detection during marking, A committee of examiners handling candidate defence hearings, WAEC Public Affairs spokesperson (John Kapi) communicating findings
Conditions for success
Examiner ability to recognise AI-chatbot disclaimer phrasing during marking
A due-process mechanism (SMS/newspaper notice plus hearing) before finalising sanctions
Coordination with the Ghana Education Service on enforcement of mobile-phone bans
Common failure modes
Detection relies on candidates leaving obvious chatbot artefacts (disclaimer text), which could be evaded
No independent verification of the false-positive rate
No new preventive technology deployed; response relies on existing phone-ban enforcement
Where it fits
Governance type
national examinations body (WAEC / Ghana Education Service)
Scale
national exam system (235 schools flagged)
Income level
lower-middle-income (Ghana)
Commonly funded by
National / regional programmes
Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.
Do you run this practice?
Claim it —
verified implementers get a public contact pathway and can propose corrections.
Data sources
Where this practice's information was retrieved from, and when.