SYSTEM REQUIREMENTS
From Rights to Systems
Rights declarations alone are insufficient.
For AI systems, rights are enforceable only when they are embedded into technical architectures, institutional governance, and physical infrastructure choices.
In the case of AI, rights are also inseparable from digital and physical infrastructure choices—where systems are built, how they are powered, and who bears their environmental and social costs.
The following requirements specify what must exist for each right to be upheld in practice.
1
Right to Representation
Required Structures
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Sovereign or jurisdictionally governed datasets
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Language-inclusive and culturally representative model training pipelines
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Local data stewardship institutions with public mandates
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Ongoing representational testing and bias audits across deployment contexts
2
Right to Algorithmic Due Process
Required Structures
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Explainability and traceability layers appropriate to system impact
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Formal appeal and redress mechanisms integrated into institutional processes
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Human-in-the-loop governance for high-stakes decisions
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Compatibility with judicial, administrative, and regulatory review processes
3
Right to Transparency and Auditability
Required Structures
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Model documentation, logging, and decision traceability standards
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Independent audit access for authorized public and institutional bodies
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Continuous monitoring and reporting infrastructure
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Clear assignment of responsibility across system designers, operators, and deploying institutions
4
Right to Responsible Data Stewardship
Required Structures
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Data governance bodies with defined authority and accountability
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Consent, purpose limitation, and proportionality controls
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Secure data infrastructure aligned with domestic legal and regulatory requirements
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Transparent data lifecycle management, including retention and deletion policies
5
Right to Sovereign and Democratic Oversight
Required Structures
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Public governance mandates defining permissible uses and limits of AI systems
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Domestic or jurisdictionally controlled compute and infrastructure options where appropriate
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Institutional capacity for AI oversight within regulatory, judicial, and administrative bodies
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Alignment with constitutional frameworks, public law, and democratic norms
6
Right to Environmental and Community Stewardship
Required Structures
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Environmental impact assessment requirements for large-scale AI and compute deployments
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Transparent accounting of electricity use, water consumption, and carbon intensity
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Siting and permitting processes that incorporate local community input and safeguards
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Infrastructure standards promoting energy efficiency, responsible water use, and sustainable cooling
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Institutional mechanisms to monitor cumulative environmental and social impacts over time
7
Right to Institutional Continuity and Governance Resilience
Required Structures
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Clear separation between political authority and technical system governance
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Mandated continuity of oversight, audit, and redress functions across administrations
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Institutional memory mechanisms, documentation standards, and durable audit trails
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Governance bodies with defined tenure, independence, and succession rules
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Safeguards against abrupt system changes driven by short-term political or market pressure
