AI system
- System
-
MBRHE AI housing-loan credit and eligibility assessment
- Model
-
Not assessed
- Release
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Not assessed
- Provider
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Not assessed
- Role
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Not assessed
- Configuration
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Not assessed
- Inputs and outputs
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Not assessed
- Autonomy
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Not assessed
- Workflow
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Credit-risk and eligibility models integrated into housing-loan assessment.
- Human oversight
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Not assessed
- Relation to AI
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Trained credit and social-vulnerability models automate eligibility assessment. MBRHE reports fewer manual approval bottlenecks. AI’s effect is not separated from financing and workflow changes.
- AI contribution
-
Trained credit and social-vulnerability models automate eligibility assessment. MBRHE reports fewer manual approval bottlenecks. AI’s effect is not separated from financing and workflow changes.
Benefits
- Outcome identifiers
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Not assessed
- Benefit
-
MBRHE reports that AI credit and eligibility models automate housing-loan assessment and remove manual approval bottlenecks. AI’s separate effect is unmeasured.
- Category
-
Reduced Task Time
- Status
-
Reported benefit
- Beneficiary groups
-
Organizations. People.
- Beneficiaries
-
Not assessed
- Reach
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Not assessed
- Distribution and access
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Not assessed
- Duration
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Not assessed
- Expected?
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Yes
- Costs and harms
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Not assessed
Measurement
- Studies
-
Not assessed
- Study design
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Not assessed
- Measurement
-
Not assessed
- Setting and sample
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Not assessed
- Measures
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Not assessed
- Comparison
-
Not assessed
- Results
-
Not assessed
- Additional value from AI
-
Not assessed
- Limitations
-
Not assessed
- Denominators
-
Not assessed
- Materials for replication
-
Not assessed
Money
- Kind of value
-
Not assessed
- Amount
-
Not assessed
- Currency and prices
-
Not assessed
- Period and unit
-
Not assessed
- Realization
-
Not assessed
- Recipients and payers
-
Not assessed
- Gross or net
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Not assessed
- Included costs
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Not assessed
- Comparison
-
Not assessed
- Method
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Not assessed
- Return and payback
-
Not assessed
People and places
- Participants
-
Operator: Mohammed Bin Rashid Housing Establishment and Emirates Islamic Bank.
- Jurisdictions
-
Benefit: Dubai,
United Arab Emirates. - Ownership and control
-
Not assessed
- Dependencies
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Not assessed
- Cross-border connections
-
Not assessed
- Geopolitical implications
-
Not assessed
Follow-up
- Conditions for replication
-
Historical approvals, credit-bureau information, income and social-eligibility data. Bank-system APIs and digital identity access integrated with the eligibility workflow.
- Replication attempts
-
Not assessed
- Later findings
-
Not assessed
- Availability
-
Not assessed
- Institutional decision
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Not assessed
- Grounds
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Not assessed
- Action and result
-
Not assessed
- Success criterion
-
Not assessed
Evidence
- Source numbers
-
AIBD-0492-source-0001
- Citations
-
Numbered references below.
- Language
-
Not assessed
- Source relationships
-
Developer
- Original evidence
-
Not assessed
- Access and versions
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Not assessed
- Supported findings
-
Not assessed
- Evidence links
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Not assessed
- Evidence strength
-
Not assessed
- Missing evidence
-
Not assessed
Grades
- Assessed benefits
-
Organizations. People.
- Depth
-
Organizations: 1. People: 1.
- Reasons
-
Organizations: MBRHE reports that AI automates credit and eligibility evaluation and removes manual approval bottlenecks. AI’s share of the wider program’s reported 30% workload reduction is unknown. People: MBRHE reports that automated eligibility evaluation helps applicants move through approval more quickly. Changes in household welfare attributable to the models are unmeasured.
- Observed or intended
-
Reported benefit
- Rubric
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Not assessed
- Assessor and date
-
Not assessed
- Alternative assessments
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Not assessed
- Fill
-
The makers' claim
Entry details
- Kind
-
Not assessed
- Related entries
-
Not assessed
- Field
-
Finance.
- Purpose
-
Reduce manual work and delays in housing-loan eligibility assessment.
- Dates
-
Source information as of: June 2025. Updated: 22 October 2026.
- Stage
-
Not assessed
- Version
-
SHA-256: c64870f27169…
References
- Other identifiers
-
ITU AI for Good: Innovate for Impact (2025). ITU-109.
- Category mappings
-
Not assessed
- Brief
-
Not assessed
- Revisions
-
1 revisions. Latest: 22 October 2026.