fAIrLAC / Inter-American Development Bank (IDB) (2024) Report (multilateral / development partner)

SISBEN

Inter-American Development Bank (IDB)

Ref: SRC-003-COL-001

https://fairlac.iadb.org/en/sisben

Accessed: 3/30/2026

Summary

IDB's fAIrLAC initiative documents SISBEN as an AI case. Confirms use of Quantile Gradient Boosting machine learning model for population classification, noting it presented excellent results in the evaluation of methodologies for SISBEN classification. Describes SISBEN IV as having potential for identifying both income poverty and multidimensional poverty.

View Harvard reference

fAIrLAC / IDB (n.d.) 'SISBEN', fAIrLAC, Inter-American Development Bank. Available at: https://fairlac.iadb.org/en/sisben (Accessed: 30 March 2026).

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Linked Cases (1)

COL-001 COL Scaled & Institutionalised

SISBEN IV -- AI-Enhanced Data Analytics and Fraud Detection Layer for Social Programme Targeting

Social assistance Classical ML