Malaysia SiPKPM — AI-enhanced national early-warning system for school dropout prevention
Malaysia
Malaysia's Ministry of Education (KPM) and UNICEF deploy SiPKPM, an AI early-warning system tracking 5 million learners on 7 risk …
Uzbekistan · Tashkent · See the Uzbekistan profile · See the Tashkent profile
Evidence: Descriptive / self-reported Top 100% 7/100 · Ask Evidence Copilot about this practice
Following an August 2025 mayoral decree, Tashkent piloted AI facial-recognition cameras for school attendance — with public backlash over undisclosed data practices, absent consent procedures, and no published accuracy or outcome evaluation to date.
Following an August 2025 decree from the Tashkent City Khokimiyat (mayor's office), Uzbekistan's Ministry of Preschool and School Education began piloting AI facial-recognition cameras in Tashkent schools to monitor student attendance, as a supplement to teacher-recorded attendance in the existing e-maktab platform. Unexcused absences are tied to a graduated fine of roughly 412,000–2,060,000 UZS for a first violation, doubling for repeats. The scheme traces back to a 2021 Ministry proposal for Face ID-based attendance, developed jointly with the Ministry of Internal Affairs.
As of May 2026 the cameras remain a limited pilot in schools of Tashkent's Mirzo-Ulugbek district, well short of the 250 classrooms across 31 Almazar-district schools originally floated for the 2025–26 rollout. No accuracy, attendance-improvement or dropout-reduction data has been published. Public reaction has been largely critical: parents and commentators raised the absence of a transparent consent process or clear rules on data storage and access for biometric data collected from minors, compounded by a related controversy over an undisclosed surveillance camera found in a school locker room.
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.
Where this practice's information was retrieved from, and when.
Malaysia
Malaysia's Ministry of Education (KPM) and UNICEF deploy SiPKPM, an AI early-warning system tracking 5 million learners on 7 risk …
El Salvador
El Salvador's SIGES early-warning module flags students at risk of dropout (pregnancy, early union, over-age status) across 96% of the …
Honduras
Honduras's national SART platform flags students at risk of dropping out — with a focus on displaced, migrant and returnee …
India
Karnataka's education department is rolling out 'Nirantara,' an Aadhaar-linked facial-recognition attendance app, to 52,686 government/aided schools (5.2M+ students) after a …
Open full copilot Grounded in cited practices — always check the sources.