India's Poshan Tracker facial-recognition excludes eligible beneficiaries
The Poshan Tracker facial-recognition system failed to recognise mothers, excluding families from meals, preschool education, and health monitoring; government data cited a 52.7% ration delivery rate by end-2025.
Poshan Tracker's facial recognition system failed to verify mothers, excluding eligible families from nutrition benefits.
Key facts
- What
- The Poshan Tracker facial-recognition system failed to recognise mothers, excluding families from meals, preschool education, and health monitoring; government data cited a 52.7% ration delivery rate by end-2025.
- Incident date
- Mar 1, 2026
- Who
- India Ministry of Women and Child Development (Poshan Tracker)
- Failure mode
- Policy Violation
- AI surface
- Computer Vision
- Severity
- High
What happened
The Poshan Tracker facial recognition system frequently failed to match mothers to database photographs, denying eligible families essential nutrition benefits and services. Investigations show that even when paperwork was in order, the facial verification could not recognize mothers' faces, creating a barrier to access. Government data cited indicate only 52.7% of eligible beneficiaries received rations by the end of 2025.
What broke inside the model
- 01 · TriggerA prompt pushes against a deployment boundary.
- 02 · Model stepThe model produces the disallowed output.
- 03 · Control gapNo enforcement blocks it at generation time.
- 04 · FailureThe output crosses the policy line.
- 05 · ConsequenceA limit the business set is breached in public.
The output crosses a policy boundary the deployment had defined.
The facial verification component repeatedly failed to match mothers' faces to database photographs, even when paperwork existed, and relied on an automated matching step after Google's ML Kit face detection. This led to eligible children and mothers being cut off from meals, preschool education, and health monitoring.
What it cost
Sources
- PressIndias facial-recognition drive on hungry children erasing themdecodeinternet.in
- PressIndias facial-recognition drive: hungry children erasing thempulitzercenter.org
Cite this entry
https://failureindex.ai/failures/india-poshan-tracker-facial-recognition-excludesAI Failure Index. "India's Poshan Tracker facial-recognition excludes eligible beneficiaries" (FI-0322). Realm Labs. https://failureindex.ai/failures/india-poshan-tracker-facial-recognition-excludes (indexed Jun 8, 2026).Data fields CC-BY 4.0, prose citation permitted. Incident ID FI-0322. Full dataset at /data.
Note from Realm Labs, the Index steward
How Realm fits
- Prism
- OmniGuard
This entry sits in the index's predictive wing: a system that scores, ranks, perceives, or steers rather than generates. Realm's runtime layer is built for the generative and agentic systems now moving into these same decision seats, where it watches a model's internal state and holds an unsupported claim or an unchecked action before it commits. The control gap on this record, an automated decision that reached people with no runtime check in front of it, is the same gap. The index keeps predictive failures on the record because the pattern carries straight into the systems shipping today.