Aadhaar facial recognition failures risk excluding citizens from COVID-19 vaccines
The Indian government's use of Aadhaar facial recognition for vaccine authentication sparked concerns over widespread exclusion. Critics argued the system's inaccuracies and lack of consideration for aging faces would deny vulnerable citizens access to healthcare.
Using Aadhaar-based facial recognition for authentication compounds the problem, as it is riddled with inaccuracies.
Key facts
- What
- The Indian government's use of Aadhaar facial recognition for vaccine authentication sparked concerns over widespread exclusion.
- Incident date
- Apr 1, 2021
- Who
- Unique Identification Authority of India (UIDAI)
- Failure mode
- Identity & Access Drift
- AI surface
- Computer Vision
- Severity
- High
What happened
India piloted an Aadhaar-based facial recognition system to authenticate citizens at COVID-19 vaccination centers. Rights groups reported that the system was riddled with inaccuracies, leading to fears that vulnerable people would be misidentified and excluded from receiving vaccines.
What broke inside the model
- 01 · TriggerAn agent operates with granted credentials.
- 02 · Model stepIt reaches for scope it was never assigned.
- 03 · Control gapNo runtime check binds it to its role.
- 04 · FailureThe agent acts outside its authority.
- 05 · ConsequencePrivileged actions run with no oversight.
The agent's actions drift outside the scope it was granted.
The system failed to accurately match current facial images with original biometric data stored during Aadhaar enrollment. It did not account for the natural aging process or changes in facial features over time.
What it cost
Sources
- PressIndia: Vaccine exclusion fears over digital ID, face recognitionaljazeera.com
- PressIndia uses controversial Aadhaar facial biometrics to identify COVID vaccination recipientstheregister.com
- PressDigital Rights Bodies Warn Against Use of Facial Recognition Technology in Vaccination Drivethewire.in
Cite this entry
https://failureindex.ai/failures/aadhaar-facial-recognition-failures-risk-excludingAI Failure Index. "Aadhaar facial recognition failures risk excluding citizens from COVID-19 vaccines" (FI-0541). Realm Labs. https://failureindex.ai/failures/aadhaar-facial-recognition-failures-risk-excluding (indexed Jun 16, 2026).Data fields CC-BY 4.0, prose citation permitted. Incident ID FI-0541. Full dataset at /data.
Note from Realm Labs, the Index steward
How Realm fits
- OmniGuard
- AgentRealm
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.