Evaluating AI interventions to reduce bias

The objective of the TC is to evaluate the impact of the AI algorithms used by Quipu and Jobecam on women and Afro-descendants, and specifically measure the differential effects of these AI algorithms in the decisions about credit approval and hiring-related decisions.

Project Detail

Country

Regional

Project Number

RG-T4601

Approval Date

December 3, 2024

Project Status

Implementation

Project Type

Technical Cooperation

Sector

SOCIAL INVESTMENT

Subsector

HUMAN RESOURCES & WORKFORCE DEVELOPMENT

Lending Instrument

Lending Instrument Code

Modality

Facility Type

Environmental and Social Impact Category (ESIC)

Total Cost

USD 125,000.00

Country Counterpart Financing

Original Amount Approved

USD 125,000.00

Financial Information

Operation Number	Lending Type	Reporting Currency	Reporting Date	Signed Date	Fund	Financial Instrument
ATN/OC-21321-RG	Sovereign Guaranteed	USD - United States Dollar	Jan. 16, 2025		Ordinary Capital	Nonreimbursable
ATN/OC-21322-RG	Sovereign Guaranteed	USD - United States Dollar	Jan. 16, 2025		Ordinary Capital	Nonreimbursable

Operation Number

ATN/OC-21321-RG

Lending Type: Sovereign Guaranteed
Reporting Currency: USD - United States Dollar
Reporting Date: Jan. 16, 2025
Signed Date:
Fund: Ordinary Capital
Financial Instrument: Nonreimbursable

Operation Number

ATN/OC-21322-RG

Lending Type: Sovereign Guaranteed
Reporting Currency: USD - United States Dollar
Reporting Date: Jan. 16, 2025
Signed Date:
Fund: Ordinary Capital
Financial Instrument: Nonreimbursable

Can’t find a document? Request information

Implementation Phase

https://www.iadb.org/document.cfm?id=EZIDB0002683-656030294-32

TC Document

TC Document - Disclosure_78432.pdf

Jan. 08, 2025

English