Luca BertonGovernment AI: Highest Scrutiny, Strictest Requirements
Public sector AI faces unique challenges. When a government deploys AI in benefits administration, immigration, law enforcement, or public health, the stakes are fundamentally different from private sector use. Citizens can't choose a different government — they're subject to AI-powered decisions whether they like it or not.
The EU AI Act recognises this: several government AI use cases are classified as high-risk or outright prohibited.
EU AI Act Impact on Government AI
Prohibited Uses in Government
- Social scoring — AI systems that evaluate citizens' trustworthiness based on social behaviour (Art. 5(1)(c))
- Real-time biometric identification — In publicly accessible spaces for law enforcement, with narrow exceptions (Art. 5(1)(h))
- Predictive policing — AI predicting criminal behaviour based solely on profiling or personality traits (Art. 5(1)(d))
High-Risk Government AI (Annex III)
- Migration and border control — Lie detectors, risk assessment for visa/asylum, document authentication AI
- Law enforcement — Evidence assessment, crime analytics, recidivism prediction
- Justice and democracy — AI assisting judicial decisions, electoral process AI
- Benefits and services — AI determining eligibility for public benefits, housing, education placement
- Emergency services — AI prioritising emergency dispatch, triage systems
Algorithmic Transparency for Citizens
Public sector AI systems must be transparent in ways private sector systems may not:
- Right to explanation — Citizens affected by automated decisions have the right to understand how the decision was made (GDPR Art. 22 + national administrative law)
- Algorithmic impact assessment — Many member states require public impact assessments before deploying government AI
- Public register — Some jurisdictions (Netherlands, Finland) require public registers of government AI systems
- Source code disclosure — Public sector AI may face freedom of information requests for algorithms and training data
- Audit access — Parliamentary oversight bodies, ombudsmen, and audit courts may require access to AI systems
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- Include AI Act compliance in tender requirements — Vendors must demonstrate conformity for high-risk AI
- Require explainability — AI systems must provide human-understandable explanations for decisions
- Demand bias audits — Vendors must demonstrate testing across demographic groups
- Data sovereignty clauses — Training data and model weights must meet data residency requirements
- Exit strategy — Avoid vendor lock-in by requiring open standards, data portability, and model interoperability
- Ongoing compliance — Contract should include post-deployment monitoring, incident reporting, and periodic audit rights
Implementation Framework for Government AI
- AI registry — Create a public-facing register of all AI systems in use
- Impact assessment — Conduct algorithmic impact assessment for each high-risk system
- Human oversight — Ensure meaningful human review for all AI-assisted decisions affecting citizens
- Appeals process — Citizens must have a clear path to challenge AI-influenced decisions
- Regular audit — Independent audits of AI performance, fairness, and accuracy
- Staff training — Public servants using AI must understand its limitations and their oversight responsibilities
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