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GOVERNANCE
accepted
AI GeneratedAlgorithmic Impact Assessment Mandate for Public AI
Description
Require mandatory algorithmic impact assessments (AIAs) for all government AI systems used in consequential decisions such as benefits eligibility, law enforcement, and resource allocation. AIAs would be publicly disclosed, enabling citizen oversight and reducing systemic bias in automated public administration.
Implementation Pathway
Phase 1: AIA Framework Design
Phase 2: Pilot and Capacity Building
Phase 3: Institutionalization
Impact Overview
Overall net impact: +6.33
Net Score by Horizon
Benefits vs Harms Count
- Benefits
- Harms
Impact Analysis
Overall Net Impact
Combined analysis across all timeframes
+6.3
Short-term
0-2 years
+3.0
Benefits
- Increased visibility into government AI procurement and deployment practices
- Immediate pause on high-risk algorithmic implementations pending audit
Potential Harms
- Significant administrative bottleneck slowing down critical public service delivery
- High compliance costs for smaller government agencies lacking technical expertise
Mid-term
3-10 years
+7.0
Benefits
- Development of standardized industry-wide transparency benchmarks
- Measurable reduction in historical bias within datasets used for public services
- Increased public trust through institutionalized oversight mechanisms
Potential Harms
- Potential for AI auditing firms to capture the regulatory process for profit
Long-term
10+ years
+9.0
Benefits
- Creation of an accountable AI ecosystem that prevents systemic discriminatory loops
- Enhanced precision and fairness in government resource allocation models
- Institutional maturity in handling complex sociotechnical governance challenges
Potential Harms
- Risk of 'compliance theater' where assessments become formulaic and lose effectiveness
Unintended Consequences
- Government agencies opting for less effective legacy manual systems to avoid rigorous oversight requirements
- Adversarial gaming of assessments where vendors structure code specifically to pass auditing metrics while retaining opaque functionality
- Brain drain of AI talent from the public sector due to perceived regulatory friction and liability concerns
Share
Evaluation Scores
Technical6.0
Economic5.0
Social/Political5.0
Scalability6.0
Values Aligned7.0
Composite Score
6.7
Metadata
Evaluations:4
Version:1