AFG-001

UNHCR Afghanistan FARE Cash Assistance: Biometric Identity Verification at Encashment Centres (PRIMES/BIMS)

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Afghanistan Middle East, North Africa, Afghanistan & Pakistan Low income Operational Deployment (Limited Rollout) Confirmed

United Nations High Commissioner for Refugees (UNHCR) – Afghanistan operation

At a Glance

What it does Perception and extraction from unstructured inputs — Identification, verification and record linkage
Who runs it United Nations High Commissioner for Refugees (UNHCR) – Afghanistan operation
Programme UNHCR Afghanistan – Forcibly Returned Afghans Enrollment (FARE) Cash Assistance Programme
Confidence Confirmed
Deployment Status Operational Deployment (Limited Rollout)
Key Risks Data-related risks
Key Outcomes Approximately 39,000 Afghan returnees received biometrically verified cash assistance through the FARE programme by early 2024.
Source Quality 6 sources — Government website / press release, News article / media, Academic journal article, +1 more

The United Nations High Commissioner for Refugees (UNHCR) deployed its Biometric Identity Management System (BIMS) in Afghanistan as part of the Forcibly Returned Afghans Enrollment (FARE) programme, a cash-based intervention designed to provide financial assistance to Afghan nationals forcibly returned from neighbouring countries, principally Pakistan and Iran, who lacked proper documentation. The FARE programme operated through a network of eight UNHCR encashment centres located in Jalalabad, Kabul, Kandahar, and Herat, where returning Afghans could receive cash grants to cover immediate needs including travel costs, rent, food, and access to essential reintegration services.

The AI component of the system centres on BIMS, which is built on Accenture's Unique Identity Service Platform (UISP). BIMS is a multimodal biometric platform that captures three biometric modalities from each individual aged five or older: ten fingerprints, images of both irises, and a facial photograph. These biometric records are transmitted to and stored in a centralised biometric database located in Geneva, Switzerland, which serves as the global reference repository for UNHCR's biometric identity records across more than 90 country operations worldwide. As of 2024, BIMS had enrolled at least 13 million individuals across 96 humanitarian locations globally.

The biometric matching process at encashment centres operates through Accenture's Biometric Matching Engine, a software component of the UISP that uses AI algorithms to compare captured biometric identifiers — fingerprints, iris patterns, and facial features — against large volumes of stored reference identity data. The matching engine automatically creates a unique identification strategy to optimise the speed and effectiveness of database searches for matching records. At the point of cash distribution, a returning Afghan presents themselves at an encashment centre, where their biometric data is captured and matched against their previously enrolled BIMS record in a one-to-one (1:1) verification process. A successful biometric match confirms the individual's identity and authorises the release of the cash grant. The system also supports one-to-many (1:N) deduplication searches to prevent duplicate registrations and ensure that assistance reaches unique, intended recipients, thereby reducing the risk of fraud and incorrect disbursements.

The FARE registration drive was completed in 2022, with the cash distribution phase following subsequently. By early 2024, the programme had provided financial assistance to approximately 39,000 Afghan returnees. In the first eight months of 2024 alone, UNHCR Afghanistan assisted 44,786 Afghan returnees comprising 10,782 households through its encashment centre network. The scale of the returnee crisis intensified significantly in 2025, with an estimated 2.5 million Afghans returning or being forced to return from neighbouring countries, with encashment centres processing approximately 7,000 daily arrivals, of whom roughly 80 percent were eligible for cash assistance.

The biometric verification process at encashment centres is governed by strict standard operating procedures designed to safeguard personal data and ensure fair access to assistance. UNHCR's data protection framework for biometric processing is underpinned by three key policy instruments: the Policy on the Protection of Personal Data of Persons of Concern to UNHCR (2015), the Guidance on the Protection of Personal Data of Persons of Concern to UNHCR (2018), and the General Policy on Personal Data Protection and Privacy (2022). User access to BIMS is provided on a need-to-know basis, with multi-factor authentication where possible, and visibility over biometric records and displayed personal information is customised for each user type. Only dedicated system administrators in each operation have advanced search rights.

The programme faced a critical operational disruption on 9 September 2025, when UNHCR was compelled to halt activities at all eight encashment centres across Afghanistan. This closure was precipitated by Taliban de facto authority instructions preventing Afghan female staff from accessing their workplaces, with security forces visibly present at the entrances of UN premises in Kabul, Herat, and Mazar-i-Sharif to enforce the restriction. UNHCR Representative Arafat Jamal stated that continued operations were 'entirely impossible without Afghan female workers, because the experience of biometrics is a very tactile one' and because confidential protection screening interviews required female interviewers given that approximately 52 percent of returnees are women. The closure created what Jamal described as 'an enormous amount of suffering' for the affected returnee population. As of the latest available reporting, negotiations with the Taliban authorities regarding resumption of services remained ongoing.

The use of biometric systems in humanitarian cash assistance contexts carries well-documented risks. Research published in the Forced Migration Review highlights concerns around consent, privacy, data protection, and responsibility, particularly when multiple private and public actors access collected data. Technical failures in biometric recognition — such as undetected fingerprints — can result in refugees being excluded from assistance. The Afghanistan context presents heightened data protection concerns given the Taliban's previous seizure of US military biometric devices, raising questions about the security of biometric data in the event of further political instability. The system processes special category biometric data (fingerprints, iris scans, facial images) of a highly vulnerable population in a fragile and conflict-affected state where domestic data protection legislation is absent or unenforced, and where the biometric data is transferred internationally to a centralised database in Geneva.

Classifications follow the DCI AI Hub Taxonomy. Hover over field labels for definitions.

Social Protection Functions

Implementation/delivery chain
Assessment of needs/conditions + enrolment primaryProvision of payments/services
SP Pillar (Primary) The social protection branch: social assistance, social insurance, or labour market programmes. Social assistance
Programme Name UNHCR Afghanistan – Forcibly Returned Afghans Enrollment (FARE) Cash Assistance Programme
Programme Type The type of social protection programme, classified under social assistance, social insurance, or labour market programmes. View in glossary Emergency Cash Transfers
System Level Where in the social protection system the AI is applied: policy level, programme design, or implementation/delivery chain. View in glossary Implementation/delivery chain
Programme Description Cash-based intervention providing financial assistance to Afghan nationals forcibly returned from neighbouring countries, delivered through biometric identity verification at UNHCR encashment centres in Jalalabad, Kabul, Kandahar, and Herat.
Implementation Type How the AI output is produced: Classical ML, Deep learning, Foundation model, or Hybrid. Affects validation, compute requirements, and governance profile. View in glossary Deep learning
Lifecycle Stage Current stage in the AI lifecycle, from problem identification through to monitoring, maintenance and decommissioning. View in glossary Monitoring, Maintenance and Decommissioning
Model Provenance Origin of the AI model: developed in-house, adapted from open-source, commercial/proprietary, or accessed via third-party API. View in glossary Commercial/proprietary
Compute Environment Where the AI system runs: on-premise, government cloud, commercial cloud, or edge/device. View in glossary Not documented
Sovereignty Quadrant Classification of data and compute sovereignty: I (Sovereign), II (Federated/Hybrid), III (Cloud with safeguards), or IV (Shared Innovation Zone). View in glossary Not assessed
Data Residency Where the data used by the AI system is stored: domestic, regional, or international. View in glossary International
Data Residency Detail Additional detail on the specific data hosting arrangements and jurisdictions. Biometric data stored in centralised UNHCR BIMS database in Geneva, Switzerland
Cross-Border Transfer Whether data crosses national borders, and if so, whether documented safeguards are in place. View in glossary Not documented
Decision Criticality The rights impact of the decision the AI supports. High criticality requires HITL oversight; moderate requires HOTL; low may operate HOOTL. View in glossary High
Human Oversight Type Level of human involvement: Human-in-the-Loop (active review), Human-on-the-Loop (monitoring), or Human-out-of-the-Loop (periodic audit). View in glossary HITL
Development Process Whether the AI system was developed fully in-house, through a mix of in-house and third-party, or fully by an external provider. View in glossary Fully third-party developed
Highest Risk Category The most significant structural risk source identified: data, model, operational, governance, or market/sovereignty risks. View in glossary Data-related risks
Risk Assessment Status Whether a formal risk assessment, informal assessment, or independent audit has been conducted for this system. Not assessed
Documented Risk Events Operations at all eight UNHCR encashment centres in Afghanistan suspended on 9 September 2025 due to Taliban de facto authority restrictions preventing Afghan female staff from working. Taliban seizure of US military biometric devices in Afghanistan (2021) raised broader data security concerns for biometric systems operating in-country.
  • Data minimisation controls
  • Human oversight protocol
CategorySensitivityCross-System LinkageAvailabilityKey Constraints
Beneficiary registries and MISPersonalLinks data across multiple systemsCurrently available and usedUNHCR proGres case management system linked to BIMS via PRIMES ecosystem. Contains registration data, household composition, vulnerability assessments, and cash disbursement records.
National ID and biometric databasesSpecial categoryLinks data across multiple systemsCurrently available and usedBiometric data (10 fingerprints, 2 irises, facial photograph) captured at encashment centres and transmitted to centralised BIMS database in Geneva. Special category data under most data protection frameworks. Cross-border transfer from Afghanistan to Switzerland. Biometric recognition failures can exclude eligible beneficiaries.

Accenture (2015). United Nations High Commissioner for Refugees and Accenture Deliver Global Biometric Identity Management System to Aid Displaced Persons. New York: Accenture Newsroom, 11 May 2015. Available at: https://newsroom.accenture.com/news/2015/united-nations-high-commissioner-for-refugees-and-accenture-deliver-global-biometric-identity-management-system-to-aid-displaced-persons (Accessed 24 Mar 2026).

View source Government website / press release

Anadolu Agency (2025). UNHCR closes 8 assistance centers for Afghan returnees after Taliban halt female staffers from working. Anadolu Agency, 12 September 2025. Available at: https://www.aa.com.tr/en/asia-pacific/unhcr-closes-8-assistance-centers-for-afghan-returnees-after-taliban-halt-female-staffers-from-working/3686071 (Accessed 24 Mar 2026).

View source News article / media

Biometric Update (2024). UNHCR biometric program facilitates cash aid delivery to 39K Afghan returnees. Biometric Update, February 2024. Available at: https://www.biometricupdate.com/202402/unhcr-biometric-program-facilitates-cash-aid-delivery-to-39k-afghan-returnees (Accessed 24 Mar 2026).

View source News article / media

Siad, A. (2024). Challenges and risks associated with biometric-enabled cash assistance. Forced Migration Review, Digital Disruption issue. Available at: https://www.fmreview.org/digital-disruption/siad/ (Accessed 24 Mar 2026).

View source Academic journal article

UNHCR (2024). Using biometrics to support cash-based interventions for Afghan returnees. Geneva: UNHCR Blog. Available at: https://www.unhcr.org/blogs/using-biometrics-to-support-cash-based-interventions-for-afghan-returnees/ (Accessed 30 Oct 2025).

View source Report (multilateral / development partner)

UNHCR (2024). Afghanistan Cash Assistance Factsheet – August 2024. Geneva: UNHCR/ReliefWeb. Available at: https://reliefweb.int/report/afghanistan/unhcr-afghanistan-cash-factsheet-august-2024 (Accessed 24 Mar 2026).

View source Report (multilateral / development partner)
Deployment Status How far the system has progressed into real-world operational use, from concept/exploration through to scaled and institutionalised. View in glossary Operational Deployment (Limited Rollout)
Year Initiated The year the AI system was first initiated or development began. 2024
Scale / Coverage The scale and geographic or population coverage of the deployment. Eight encashment centres across four cities (Jalalabad, Kabul, Kandahar, Herat); approximately 39,000 returnees assisted by early 2024; 44,786 returnees (10,782 households) in first eight months of 2024; operations suspended 9 September 2025 due to Taliban restrictions on female staff.
Funding Source The source(s) of funding for the AI system development and deployment. UNHCR operational budget; bilateral contributions including Japan (USD 2 million pledge for approximately 23,000 returnees).
Technical Partners External technology vendors, academic partners, or development partners involved. Accenture (developer of BIMS/UISP biometric matching platform); UNHCR Division of Information Systems and Telecommunications (DIST).
Outcomes / Results Approximately 39,000 Afghan returnees received biometrically verified cash assistance through the FARE programme by early 2024. In the first eight months of 2024, 44,786 returnees (10,782 households) were assisted. The biometric system was designed to enhance accountability, prevent duplicate disbursements, and facilitate rapid service delivery.
Challenges Operational suspension since 9 September 2025 due to Taliban ban on female UN staff. Biometric verification failures can exclude eligible beneficiaries. Data protection risks heightened in fragile/conflict-affected context with no domestic data protection framework. International transfer of biometric data to Geneva raises sovereignty concerns. Culturally sensitive biometric capture (especially for women) requires female staff presence.

How to Cite

DCI AI Hub (2026). 'UNHCR Afghanistan FARE Cash Assistance: Biometric Identity Verification at Encashment Centres (PRIMES/BIMS)', AI Hub AI Tracker, case AFG-001. Digital Convergence Initiative. Available at: https://socialprotectionai.org/use-case/AFG-001 [Accessed: 1 April 2026].

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