60 lines
No EOL
2.9 KiB
Markdown
60 lines
No EOL
2.9 KiB
Markdown
---
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type: claim
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domain: ai-alignment
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description: "UK research strategy identifies human agency, security, privacy, transparency, fairness, value alignment, and accountability as non-negotiable trust requirements"
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confidence: experimental
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source: "UK AI for CI Research Network, Artificial Intelligence for Collective Intelligence: A National-Scale Research Strategy (2024)"
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created: 2026-03-11
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secondary_domains: [collective-intelligence]
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---
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# National-scale collective intelligence infrastructure requires seven trust properties as foundational architecture
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The UK AI4CI research strategy identifies seven trust properties as structural requirements for collective intelligence systems operating at national scale:
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1. **Human agency** — systems must preserve meaningful human decision-making capacity
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2. **Security** — protection against adversarial attacks and system compromise
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3. **Privacy** — data protection that enables participation without surveillance risk
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4. **Transparency** — legible system behavior and decision processes
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5. **Fairness** — equitable treatment across demographic groups
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6. **Value alignment** — incorporation of user values rather than imposed priorities
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7. **Accountability** — clear responsibility chains for system outcomes
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These are not aspirational goals but foundational requirements. The strategy frames them as prerequisites for establishing "appropriate infrastructure in a way that is secure, well-governed and sustainable" at scale.
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The emphasis on "user values" rather than predetermined priorities suggests these systems must be pluralistic by design — accommodating diverse values simultaneously rather than converging on a single aligned state.
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## Evidence
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From the UK national research strategy:
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- Seven trust properties explicitly listed as infrastructure requirements
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- Systems must incorporate "user values" rather than imposing predetermined priorities
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- AI agents must "consider and communicate broader collective implications"
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- Scale brings challenges in "establishing and managing appropriate infrastructure in a way that is secure, well-governed and sustainable"
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## Infrastructure Implications
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The strategy specifies required infrastructure across two dimensions:
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**Technical:**
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- Secure data repositories
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- Federated learning architectures
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- Real-time integration capabilities
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- Foundation models
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**Governance:**
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- FAIR principles (Findable, Accessible, Interoperable, Reusable)
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- Trustworthiness assessment frameworks
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- Regulatory sandboxes for experimentation
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- Trans-national governance coordination
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---
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Relevant Notes:
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- [[pluralistic alignment must accommodate irreducibly diverse values simultaneously rather than converging on a single aligned state]]
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- [[safe AI development requires building alignment mechanisms before scaling capability]]
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- foundations/collective-intelligence/_map
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Topics:
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- domains/ai-alignment/_map
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- foundations/collective-intelligence/_map |